Triple

T4245685
Position Surface form Disambiguated ID Type / Status
Subject Holy Cross Cemetery (Culver City) E95522 entity
Predicate hasNotableBurial P196 FINISHED
Object Jack Haley E49587 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: Jack Haley | Statement: [Holy Cross Cemetery (Culver City), hasNotableBurial, Jack Haley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Haley
Context triple: [Holy Cross Cemetery (Culver City), hasNotableBurial, Jack Haley]
  • A. Jack Haley chosen
    Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
  • B. Harry H. Corbett
    Harry H. Corbett was an English actor best known for his role as Harold Steptoe in the classic BBC sitcom "Steptoe and Son."
  • C. John William Ferrell
    John William Ferrell is an American actor, comedian, producer, and writer best known for his work on "Saturday Night Live" and in hit comedy films such as "Anchorman" and "Elf."
  • D. Frank Gaylord
    Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
  • E. Roy Harlow
    Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87993648190b2969505cdf3c554 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:05 p.m.