Triple

T20047673
Position Surface form Disambiguated ID Type / Status
Subject George Duning E497604 entity
Predicate name P16 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: [George Duning, name, George Duning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Duning
Context triple: [George Duning, name, 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. 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.
  • E. George Dillon
    George Dillon is a character from the 1987 science fiction action film "Predator," portrayed as a former comrade of Dutch who becomes a CIA operative involved in the ill-fated mission in the Central American jungle.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.