Triple

T20845249
Position Surface form Disambiguated ID Type / Status
Subject Peter H. Hunt E513205 entity
Predicate name P16 FINISHED
Object Peter H. Hunt 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: Peter H. Hunt | Statement: [Peter H. Hunt, name, Peter H. Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter H. Hunt
Context triple: [Peter H. Hunt, name, Peter H. Hunt]
  • A. Peter H. Hunt chosen
    Peter H. Hunt was an American film, television, and theater director best known for his work on the musical "1776" and numerous stage productions.
  • B. Peter R. Hunt
    Peter R. Hunt was a British film editor and director best known for his long association with the James Bond series, including directing the 1969 film "On Her Majesty's Secret Service."
  • C. Roger A. Towberman
    Roger A. Towberman is a senior enlisted leader in the United States Space Force who became its inaugural Chief Master Sergeant, helping shape the service’s culture and enlisted structure.
  • D. Don Houghton
    Don Houghton was a British television screenwriter best known for his work on series such as Doctor Who and Sapphire & Steel.
  • E. Lloyd Levin
    Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34ec254819082610264c7af20c8 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.