Triple

T3450729
Position Surface form Disambiguated ID Type / Status
Subject SIGCHI Outstanding Dissertation Award E72786 entity
Predicate recipientProfile P48895 FINISHED
Object recent PhD graduate LITERAL FINISHED

How this triple was built (2 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: recent PhD graduate | Statement: [SIGCHI Outstanding Dissertation Award, recipientProfile, recent PhD graduate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recipientProfile
Context triple: [SIGCHI Outstanding Dissertation Award, recipientProfile, recent PhD graduate]
  • A. individualRecipient
    Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
  • B. payerType
    Indicates the type or category of entity responsible for making a payment in the relationship.
  • C. beneficialOwner
    Indicates that one entity is the ultimate beneficiary of ownership rights or economic interest in another entity or asset, even if the ownership is held indirectly or through intermediaries.
  • D. publicProfile
    Indicates that an entity’s profile or identifying information is visible and accessible to the general public.
  • E. foreignRecipient
    Indicates that something is received by an entity located in or belonging to a different country or jurisdiction than the source.
  • F. None of above. chosen

Provenance (4 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
PDg Predicate description generation batch_69adb1ecb02881908394f197e31431b4 completed March 8, 2026, 5:29 p.m.
Created at: March 8, 2026, 3:16 p.m.