Triple

T12108369
Position Surface form Disambiguated ID Type / Status
Subject Peyton Place E288359 entity
Predicate starredActor P5563 FINISHED
Object Terry Moore E224483 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: Terry Moore | Statement: [Peyton Place, starredActor, Terry Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Moore
Context triple: [Peyton Place, starredActor, Terry Moore]
  • A. Terry Moore chosen
    Terry Moore is an American actress known for her prolific film and television career, including an Academy Award–nominated role in "Come Back, Little Sheba" (1952).
  • B. Sue Moore
    Sue Moore is the mayor of Singleton Shire, a local government area in New South Wales, Australia.
  • C. Terry Richards
    Terry Richards was a British actor and stuntman best known for his work in film and television, including notable roles in action and crime dramas.
  • D. Rene Moore
    Rene Moore is an American singer, songwriter, and record producer best known as half of the R&B duo René & Angela, who wrote and produced hits for artists such as Janet Jackson and Michael Jackson.
  • E. Joyce Taylor
    Joyce Taylor was an American actress known for her film and television roles in the 1950s and 1960s.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915632dc48190863e0239cef37e24 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67b3f2c8190bcb2120781f91220 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:49 p.m.