Triple

T16469172
Position Surface form Disambiguated ID Type / Status
Subject Jacqueline Hennessy E400013 entity
Predicate hasRelative P367 FINISHED
Object Jill Hennessy E77179 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: Jill Hennessy | Statement: [Jacqueline Hennessy, hasRelative, Jill Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Hennessy
Context triple: [Jacqueline Hennessy, hasRelative, Jill Hennessy]
  • A. Jill Hennessy chosen
    Jill Hennessy is a Canadian actress and musician best known for her leading roles on the television series Law & Order and Crossing Jordan.
  • B. Paget Brewster
    Paget Brewster is an American actress best known for her roles in television series such as "Criminal Minds," "Friends," and various comedic and voice-acting projects.
  • C. Kristy McNichol
    Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
  • D. Amy Joanne Robach
    Amy Joanne Robach is an American television journalist and news anchor best known for her work on ABC News programs such as Good Morning America and 20/20.
  • E. Tyne Daly
    Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170db6c6881908f5670c8282f4097 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:11 a.m.