Triple

T574520
Position Surface form Disambiguated ID Type / Status
Subject SIGCHI E13732 entity
Predicate hasAward P219 FINISHED
Object SIGCHI Outstanding Dissertation Award
The SIGCHI Outstanding Dissertation Award is a prestigious annual honor recognizing the most outstanding doctoral dissertation in the field of human-computer interaction.
E72786 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SIGCHI Outstanding Dissertation Award | Statement: [SIGCHI, hasAward, SIGCHI Outstanding Dissertation Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIGCHI Outstanding Dissertation Award
Context triple: [SIGCHI, hasAward, SIGCHI Outstanding Dissertation Award]
  • A. SIGCHI Social Impact Award
    The SIGCHI Social Impact Award is a recognition given by the ACM SIGCHI community to individuals or groups whose work in human-computer interaction has led to significant positive social change.
  • B. SIGCHI Lifetime Achievement Award
    The SIGCHI Lifetime Achievement Award is a prestigious honor presented by the ACM Special Interest Group on Computer–Human Interaction to individuals who have made fundamental and sustained contributions to the field of human-computer interaction.
  • C. SIGCHI
    SIGCHI is the ACM Special Interest Group on Computer-Human Interaction, a leading professional community focused on advancing research and practice in human-computer interaction.
  • D. SIGKDD Innovation Award
    The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
  • E. ACM SIGPLAN Distinguished Service Award
    The ACM SIGPLAN Distinguished Service Award is a recognition given by the ACM Special Interest Group on Programming Languages to individuals who have made exceptional contributions to the programming languages community through dedicated service and leadership.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SIGCHI Outstanding Dissertation Award
Triple: [SIGCHI, hasAward, SIGCHI Outstanding Dissertation Award]
Generated description
The SIGCHI Outstanding Dissertation Award is a prestigious annual honor recognizing the most outstanding doctoral dissertation in the field of human-computer interaction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SIGCHI Outstanding Dissertation Award
Target entity description: The SIGCHI Outstanding Dissertation Award is a prestigious annual honor recognizing the most outstanding doctoral dissertation in the field of human-computer interaction.
  • A. SIGCHI Social Impact Award
    The SIGCHI Social Impact Award is a recognition given by the ACM SIGCHI community to individuals or groups whose work in human-computer interaction has led to significant positive social change.
  • B. SIGCHI Lifetime Achievement Award
    The SIGCHI Lifetime Achievement Award is a prestigious honor presented by the ACM Special Interest Group on Computer–Human Interaction to individuals who have made fundamental and sustained contributions to the field of human-computer interaction.
  • C. SIGCHI
    SIGCHI is the ACM Special Interest Group on Computer-Human Interaction, a leading professional community focused on advancing research and practice in human-computer interaction.
  • D. SIGKDD Innovation Award
    The SIGKDD Innovation Award is a premier annual honor in the data mining and knowledge discovery community recognizing influential, long-lasting technical contributions to the field.
  • E. ACM SIGPLAN Distinguished Service Award
    The ACM SIGPLAN Distinguished Service Award is a recognition given by the ACM Special Interest Group on Programming Languages to individuals who have made exceptional contributions to the programming languages community through dedicated service and leadership.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b4c23548190a3b883239c7c78c8 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5089de648819097efdaa016aa33d2 completed March 2, 2026, 3:48 a.m.
NEDg Description generation batch_69a5096f59708190837cb90cc138765d completed March 2, 2026, 3:52 a.m.
NED2 Entity disambiguation (via description) batch_69a509e5f4248190bf0ac6545e200978 completed March 2, 2026, 3:54 a.m.
Created at: March 1, 2026, 7:33 p.m.