Triple

T22101080
Position Surface form Disambiguated ID Type / Status
Subject Hue and Cry E546172 entity
Predicate cinematographyBy P1953 FINISHED
Object Stanley Pavey 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: Stanley Pavey | Statement: [Hue and Cry, cinematographyBy, Stanley Pavey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Pavey
Context triple: [Hue and Cry, cinematographyBy, Stanley Pavey]
  • A. Stanley Pavey chosen
    Stanley Pavey was a British cinematographer best known for his work on classic mid-20th-century films, including the influential horror anthology "Dead of Night."
  • B. Stanley Anderson
    Stanley Anderson was an American character actor known for his numerous supporting roles in film and television, often portraying authoritative figures such as judges, generals, and politicians.
  • C. Stanley Townsend
    Stanley Townsend is an Irish character actor known for his extensive work in film, television, and theatre, often portraying complex supporting roles.
  • D. Phil Buckman
    Phil Buckman is an American musician and actor best known as the bassist for the rock band Filter and for various television and film roles.
  • E. Charles Horvath
    Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.