Triple

T9913444
Position Surface form Disambiguated ID Type / Status
Subject The Pyx E185803 entity
Predicate producer P490 FINISHED
Object Harvey Hart E829431 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: Harvey Hart | Statement: [The Pyx, producer, Harvey Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harvey Hart
Context triple: [The Pyx, producer, Harvey Hart]
  • A. Harvey Hart chosen
    Harvey Hart was a Canadian film and television director known for his work on both feature films and numerous TV productions from the 1950s through the 1980s.
  • B. George Shinn
    George Shinn is an American businessman best known as the former owner of the NBA’s Charlotte Hornets and other Charlotte-based professional sports franchises.
  • C. Harvey Cokeliss
    Harvey Cokeliss is a British film director, producer, and screenwriter known for his work in genre cinema and television.
  • D. Harry H. Woodring
    Harry H. Woodring was an American politician and military administrator who served in senior U.S. War Department leadership during the 1930s under President Franklin D. Roosevelt.
  • E. Ed Dorn
    Ed Dorn was an American poet associated with the Black Mountain school, known for his incisive, often politically charged verse and his long poem "Gunslinger."
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228ae315c8190bedb2cbab0982118 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:41 p.m.