Triple

T11421879
Position Surface form Disambiguated ID Type / Status
Subject Sean Harris E270642 entity
Predicate notableWork P4 FINISHED
Object Harry Brown E515060 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: Harry Brown | Statement: [Sean Harris, notableWork, Harry Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Brown
Context triple: [Sean Harris, notableWork, Harry Brown]
  • A. Harry Brown chosen
    Harry Brown was an American screenwriter and novelist best known for his work on war-themed films and literature in the mid-20th century.
  • B. Arthur George Brown
    Arthur George Brown was the son of pioneering British aviator Arthur Whitten Brown, who co-piloted the first non-stop transatlantic flight in 1919.
  • C. Joe Brown
    Joe Brown was a renowned British mountaineer celebrated for pioneering ascents in the mid-20th century and for helping usher in the era of modern rock climbing.
  • D. Joe Brown
    Joe Brown is a fictional character played by British actor Lennie James, known for his intense and emotionally complex performances.
  • E. Tom Kettle
    Tom Kettle is a central character in Jez Butterworth’s play "The Ferryman," serving as a gentle, mentally disabled farmhand whose presence adds both humor and pathos to the family drama.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.