Triple

T18812786
Position Surface form Disambiguated ID Type / Status
Subject Linda Fiorentino E460056 entity
Predicate workedWith P398 FINISHED
Object Kevin Smith 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: Kevin Smith | Statement: [Linda Fiorentino, workedWith, Kevin Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Smith
Context triple: [Linda Fiorentino, workedWith, Kevin Smith]
  • A. Kevin Smith chosen
    Kevin Smith is an American filmmaker, actor, and comic book writer best known for creating the View Askewniverse films such as "Clerks," "Mallrats," and "Dogma."
  • B. Jon Bokenkamp
    Jon Bokenkamp is an American screenwriter and producer best known for creating the television series "The Blacklist" and writing several thriller films.
  • C. Jody Hill
    Jody Hill is an American filmmaker, writer, and director best known for creating and directing dark comedy projects such as the HBO series "Eastbound & Down" and "Vice Principals."
  • D. Eli Roth
    Eli Roth is an American filmmaker and actor best known for directing horror films like "Hostel" and appearing in Quentin Tarantino's movies.
  • E. Rob Murray
    Rob Murray is a professional ice hockey coach and former player best known for his successful tenure leading minor league teams, including the Alaska Aces.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3dcc7d88190801d9c9202e0e411 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.