Triple

T8872232
Position Surface form Disambiguated ID Type / Status
Subject Angela E211185 entity
Predicate hasNickName P39 FINISHED
Object Ang
Ang is a casual nickname commonly used for the given name Angela.
 E763128 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: Ang | Statement: [Angela, hasNickName, Ang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ang
Context triple: [Angela, hasNickName, Ang]
  • A. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • B. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • C. Una
    Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
  • D. Alwa
    Alwa is an alternative historical name for the medieval Nubian kingdom of Alodia in what is now Sudan.
  • E. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • 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: Ang
Triple: [Angela, hasNickName, Ang]
Generated description
Ang is a casual nickname commonly used for the given name Angela.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ang
Target entity description: Ang is a casual nickname commonly used for the given name Angela.
  • A. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • B. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • C. Una
    Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
  • D. Alwa
    Alwa is an alternative historical name for the medieval Nubian kingdom of Alodia in what is now Sudan.
  • E. Anaa
    Anaa is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its large lagoon, traditional Polynesian culture, and historical significance as a former regional center.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.