Triple

T4109645
Position Surface form Disambiguated ID Type / Status
Subject Dee Dee Bridgewater E88540 entity
Predicate givenName P17 FINISHED
Object Denise E214650 NE 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: Denise | Statement: [Dee Dee Bridgewater, givenName, Denise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise
Context triple: [Dee Dee Bridgewater, givenName, Denise]
  • A. Denise chosen
    Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
  • B. Diane
    Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
  • C. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • D. Denise Mara
    Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
  • E. Debra
    Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dbe9808190aefdc89e426cc4de completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b850d588190a0fc4b784bc7ca4f completed March 14, 2026, 2:07 p.m.
Created at: March 9, 2026, 3:41 p.m.