Triple

T6268287
Position Surface form Disambiguated ID Type / Status
Subject Viva Las Vegas E140467 entity
Predicate starring P1507 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: [Viva Las Vegas, starring, William Demarest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Demarest
Context triple: [Viva Las Vegas, starring, 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_69c008cabc4081909723e2547c9d6cc0 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063a28da081909f4bec8f7c1dedef completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69de21a949508190ad16b061ead5ed24 completed April 14, 2026, 11:14 a.m.
Created at: March 22, 2026, 4:25 p.m.