Triple

T19545579
Position Surface form Disambiguated ID Type / Status
Subject Jon Finch E489038 entity
Predicate notableWork P4 FINISHED
Object Frenzy (1972 film) 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: Frenzy (1972 film) | Statement: [Jon Finch, notableWork, Frenzy (1972 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frenzy (1972 film)
Context triple: [Jon Finch, notableWork, Frenzy (1972 film)]
  • A. film "Frantic"
    "Frantic" is a 1988 neo-noir thriller film directed by Roman Polanski, starring Harrison Ford as an American doctor searching for his missing wife in Paris.
  • B. Frenzy chosen
    Frenzy is a 1972 British thriller film directed by Alfred Hitchcock, known for its dark humor and disturbing portrayal of a serial killer in London.
  • C. Frenzy
    "Frenzy" is a popular Nigerian Afropop song by artist D'Prince, known for its energetic beat and club-friendly vibe.
  • D. Frenzy
    Frenzy is a Hearthstone keyword that triggers a special effect the first time a minion survives damage.
  • E. Frenzy
    Frenzy is a small, hyperactive Decepticon known for his disruptive tactics, espionage skills, and penchant for causing chaos in the Transformers universe.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63876bacc8190b17e2087de679785 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.