Triple

T5442487
Position Surface form Disambiguated ID Type / Status
Subject The Great McGinty E122167 entity
Predicate stars P1956 FINISHED
Object William Demarest E719961 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: William Demarest | Statement: [The Great McGinty, stars, William Demarest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Demarest
Context triple: [The Great McGinty, stars, William Demarest]
  • A. William Demarest chosen
    William Demarest was an American character actor best known for his roles in numerous Hollywood films and the television series "My Three Sons."
  • B. John H. Demarest
    John H. Demarest was a 19th-century New Jersey politician who served in the state legislature and is buried in Hackensack Cemetery.
  • C. William H. Demarest
    William H. Demarest was an American educator who served as president of Rutgers College in the early 20th century.
  • D. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • E. Arthur Dorman
    Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91cb5eec8190bdf2ef0bdea84a62 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96af89e48819093a6c149ac988391 completed April 10, 2026, 9:26 p.m.
Created at: March 20, 2026, 2:07 p.m.