Triple

T6239543
Position Surface form Disambiguated ID Type / Status
Subject Promises, Promises E139563 entity
Predicate originalBroadwayLeadActress P6108 FINISHED
Object Jill O’Hara E332756 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 O’Hara | Statement: [Promises, Promises, originalBroadwayLeadActress, Jill O’Hara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill O’Hara
Context triple: [Promises, Promises, originalBroadwayLeadActress, Jill O’Hara]
  • A. Jill O'Hara chosen
    Jill O'Hara is an American actress and singer best known for her work on Broadway, including originating the role of Fran Kubelik in the musical "Promises, Promises."
  • B. Sarah O’Meara
    Sarah O’Meara is known as the spouse of Australian film director Paul Cox.
  • C. Julie Dillon
    Julie Dillon is an American science fiction and fantasy illustrator renowned for her vibrant, imaginative digital artwork and multiple Hugo Award wins.
  • D. Jill Talley
    Jill Talley is an American actress and voice actress best known for her work on animated television series such as SpongeBob SquarePants and various Adult Swim and comedy projects.
  • E. Heather O’Rourke
    Heather O’Rourke was an American child actress best known for her role as Carol Anne Freeling in the "Poltergeist" film series.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063048df081909a13d16b6f6bf65d completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8e55a6d848190856460c45374c629 completed March 29, 2026, 8:39 a.m.
Created at: March 22, 2026, 4:23 p.m.