Triple

T7595059
Position Surface form Disambiguated ID Type / Status
Subject Hot Fuzz E179837 entity
Predicate cinematographer P1953 FINISHED
Object Jess Hall E322054 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: Jess Hall | Statement: [Hot Fuzz, cinematographer, Jess Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jess Hall
Context triple: [Hot Fuzz, cinematographer, Jess Hall]
  • A. Jess Hall chosen
    Jess Hall is a British cinematographer known for his visually distinctive work on films such as "Transcendence," "Hot Fuzz," and "Ghost in the Shell."
  • B. Lee Holloway
    Lee Holloway is a software engineer best known as one of the co-founders and early technical architects of the internet security and performance company Cloudflare.
  • C. Kris Parker
    Kris Parker, better known by his stage name KRS-One, is an influential American rapper and activist regarded as a pioneer of conscious and politically charged hip hop.
  • D. Dick Hallorann
    Dick Hallorann is the kindly, psychic cook who shares a telepathic "shining" with Danny Torrance and helps him survive the horrors of the Overlook Hotel in Stephen King's horror story.
  • E. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.