Triple

T12768013
Position Surface form Disambiguated ID Type / Status
Subject Blue Heelers E305173 entity
Predicate notableCastMember P7010 FINISHED
Object Martin Sacks E1077732 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: Martin Sacks | Statement: [Blue Heelers, notableCastMember, Martin Sacks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Sacks
Context triple: [Blue Heelers, notableCastMember, Martin Sacks]
  • A. Martin Sacks chosen
    Martin Sacks is an Australian actor best known for his long-running role as Detective P.J. Hasham on the television drama series "Blue Heelers."
  • B. Michael Sacks
    Michael Sacks is an American actor best known for his role as Billy Pilgrim in the film adaptation of Kurt Vonnegut’s "Slaughterhouse-Five."
  • C. Jerome Sacks
    Jerome Sacks is an American statistician known for his contributions to experimental design, statistical theory, and the development of computer experiments.
  • D. Andrew Scheinman
    Andrew Scheinman is an American film and television producer and director best known for his work on popular comedies such as "When Harry Met Sally..." and his collaborations with Rob Reiner.
  • E. Steven Baigelman
    Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdee8d1408190942ff455e7b1b6e2 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 5:28 p.m.