Triple

T1028871
Position Surface form Disambiguated ID Type / Status
Subject Colin Firth E22202 entity
Predicate portrayed P1668 FINISHED
Object Harry Hart E48818 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 Hart | Statement: [Colin Firth, portrayed, Harry Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Hart
Context triple: [Colin Firth, portrayed, Harry Hart]
  • A. Harry Hart chosen
    Harry Hart is a suave, highly skilled British secret agent and mentor figure in the Kingsman film series.
  • B. Vincent Winter
    Vincent Winter was a Scottish child actor who gained prominence in the 1950s and 1960s, later working behind the scenes in film production.
  • C. Michael Connelly
    Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
  • D. Tom Fleming
    Tom Fleming is a name shared by several notable individuals, including an American long-distance runner and a Scottish actor and comedian.
  • E. Charles Hoover
    Charles Hoover is a member of the Hoover family, known primarily as the brother of American engineer and diplomat Herbert Hoover Jr.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f84c888190b5b9e44c7edb508f completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bbce0b88190b91380fca297cd38 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.