Triple

T8551839
Position Surface form Disambiguated ID Type / Status
Subject Super Denise E202461 entity
Predicate predecessor P97 FINISHED
Object Denise
Denise is a character or entity known primarily as the earlier incarnation or version that was later succeeded by Super Denise.
 E743510 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: [Super Denise, predecessor, Denise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denise
Context triple: [Super Denise, predecessor, 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 Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • D. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • E. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • 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: [Super Denise, predecessor, Denise]
Generated description
Denise is a character or entity known primarily as the earlier incarnation or version that was later succeeded by Super Denise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denise
Target entity description: Denise is a character or entity known primarily as the earlier incarnation or version that was later succeeded by Super 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 Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • D. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • E. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe886fb788190a73e7c76c4f86409 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce892efdf8819093c966bd8f6c8065 completed April 2, 2026, 3:20 p.m.
NEDg Description generation batch_69ce8c7ad5cc8190a50c8e15ce353d1d completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:19 p.m.