Triple

T14454606
Position Surface form Disambiguated ID Type / Status
Subject In Old Chicago E358424 entity
Predicate screenwriter P2831 FINISHED
Object Lamar Trotti E218747 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: Lamar Trotti | Statement: [In Old Chicago, screenwriter, Lamar Trotti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamar Trotti
Context triple: [In Old Chicago, screenwriter, Lamar Trotti]
  • A. Lamar Trotti chosen
    Lamar Trotti was an American screenwriter and producer best known for his work on classic Hollywood films of the 1930s and 1940s, including several major 20th Century Fox productions.
  • B. Rod Tidwell
    Rod Tidwell is a charismatic, outspoken professional football player in the film "Jerry Maguire," best known for his demand to "show me the money."
  • C. Lamar Johnson
    Lamar Johnson is a Canadian actor known for roles in film and television, including his appearance in HBO's adaptation of "The Last of Us."
  • D. Warren Cowgill
    Warren Cowgill was an influential American historical linguist known for his work on Indo-European linguistics and his advocacy of the Italo-Celtic hypothesis.
  • E. Darrell Tryon
    Darrell Tryon was an Australian linguist and anthropologist known for his influential work on Pacific languages and sociolinguistics, particularly in Melanesia and the wider Oceanic region.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a39d55c8190bbc7b76fab6b8b39 completed May 8, 2026, 5:52 a.m.
Created at: April 10, 2026, 1:19 a.m.