Triple

T22841097
Position Surface form Disambiguated ID Type / Status
Subject The Long Gray Line E566080 entity
Predicate musicBy P1952 FINISHED
Object George Duning NE NERFINISHED

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 Duning | Statement: [The Long Gray Line, musicBy, George Duning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Duning
Context triple: [The Long Gray Line, musicBy, George Duning]
  • A. George Duning chosen
    George Duning was an American film composer best known for his lush, melodic scores for mid-20th-century Hollywood movies.
  • B. Charles Dobell
    Charles Dobell was a Canadian-born British Army general noted for his service in colonial campaigns and the First World War, particularly in the Middle Eastern theatre.
  • C. George Dilboy
    George Dilboy was a Greek-American U.S. Army soldier and Medal of Honor recipient recognized for his heroism during World War I.
  • D. George Sewell
    George Sewell was a British character actor known for his tough, often villainous roles in film and television during the 1960s and 1970s.
  • E. Edward Milford
    Edward Milford was a senior Australian Army officer and World War II commander who played a key leadership role in the Pacific theatre.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e83fa48819084568264ef45c833 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.