Triple

T9814818
Position Surface form Disambiguated ID Type / Status
Subject Culver City E238374 entity
Predicate foundedBy P104 FINISHED
Object Harry Culver E138119 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: Harry Culver | Statement: [Culver City, foundedBy, Harry Culver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Culver
Context triple: [Culver City, foundedBy, Harry Culver]
  • A. Harry Culver chosen
    Harry Culver was an American real estate developer and city founder best known for establishing and promoting Culver City, California, as a planned community and film industry hub.
  • B. Harry Cutler
    Harry Cutler is a notable individual who shares the surname Cutler and is recognized as a distinguished bearer of that name.
  • C. Henry McMorran
    Henry McMorran was a prominent local figure and benefactor in Port Huron, Michigan, whose contributions to the community led to the city’s main event center being named in his honor.
  • D. Harry Crocker
    Harry Crocker was an American film actor and journalist best known for his supporting roles in silent-era comedies, including collaborations with Charlie Chaplin.
  • E. Roland Culver
    Roland Culver was a British actor known for his polished, often aristocratic screen presence in mid-20th-century film, television, and theatre.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f19660819083e3f15780352052 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc67db68819093217c9a74e72fbf completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:30 p.m.