Triple

T15377786
Position Surface form Disambiguated ID Type / Status
Subject Agent Whiskey E367713 entity
Predicate allyOf P4662 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: [Agent Whiskey, allyOf, Harry Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Hart
Context triple: [Agent Whiskey, allyOf, 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. David Nobbs
    David Nobbs was a British comedy writer and novelist best known for his sharp, character-driven humor and influential work in television sitcoms and comic fiction.
  • C. Peter Kerrigan
    Peter Kerrigan was a British actor known for his work in television and film, particularly in socially conscious dramas of the late 20th century.
  • D. George Hackathorne
    George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
  • E. Lee Chandler
    Lee Chandler is the emotionally withdrawn Boston janitor and handyman at the center of the film "Manchester by the Sea," whose tragic past drives the movie’s exploration of grief and guilt.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5ece1081908d7c1289258b9c1f completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1347c8448190aa1088d66bca2722 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.