Triple

T8685172
Position Surface form Disambiguated ID Type / Status
Subject The Hucksters E206138 entity
Predicate editor P1954 FINISHED
Object George White E409265 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: George White | Statement: [The Hucksters, editor, George White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George White
Context triple: [The Hucksters, editor, George White]
  • A. George White chosen
    George White was a film editor active in mid-20th-century American cinema, known for his work on classic Hollywood productions.
  • B. George White
    George White was a British Army general best known for commanding the garrison during the Siege of Ladysmith in the Second Boer War.
  • C. Tom Walls
    Tom Walls is a film editor known for his work on the movie "Remember My Name."
  • D. Ray Nance
    Ray Nance was an American jazz trumpeter, violinist, vocalist, and entertainer best known for his long tenure with Duke Ellington’s orchestra, where he contributed iconic solos and versatile performances.
  • E. Joe Williams
    Joe Williams was a renowned American jazz and blues singer best known for his powerful baritone voice and celebrated recordings with the Count Basie Orchestra.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:32 p.m.