Triple

T8744048
Position Surface form Disambiguated ID Type / Status
Subject Denise DeBartolo York E207778 entity
Predicate givenName P17 FINISHED
Object Denise
Denise is the given name of American businesswoman and NFL team owner Denise DeBartolo York.
 E755964 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: Denise | Statement: [Denise DeBartolo York, givenName, Denise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denise
Context triple: [Denise DeBartolo York, givenName, Denise]
  • A. Denise
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • B. Denise
    Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
  • C. Denise
    Denise is a character or entity known primarily as the earlier incarnation or version that was later succeeded by Super Denise.
  • D. Denise Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • E. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • 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: Denise
Triple: [Denise DeBartolo York, givenName, Denise]
Generated description
Denise is the given name of American businesswoman and NFL team owner Denise DeBartolo York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denise
Target entity description: Denise is the given name of American businesswoman and NFL team owner Denise DeBartolo York.
  • A. Denise
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • B. Denise
    Denise is a central character in the comedy film "Hot Rod," serving as Rod Kimble's kind-hearted and supportive love interest.
  • C. Denise
    Denise is a character or entity known primarily as the earlier incarnation or version that was later succeeded by Super Denise.
  • D. Denise Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • E. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d72e47c819099540d062d35ebd5 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42fdb90c81909af29b5c0a26560a completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf459e12748190b7aaf2e33a1944fd completed April 3, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69cf460d555081908fcb69dd3895fda0 completed April 3, 2026, 4:46 a.m.
Created at: March 30, 2026, 6:38 p.m.