Triple

T15472413
Position Surface form Disambiguated ID Type / Status
Subject Leslie Bibb E376694 entity
Predicate notableWork P4 FINISHED
Object Line of Fire E460335 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: Line of Fire | Statement: [Leslie Bibb, notableWork, Line of Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line of Fire
Context triple: [Leslie Bibb, notableWork, Line of Fire]
  • A. Line of Fire chosen
    "Line of Fire" is an American crime drama television series that follows undercover FBI agents infiltrating a crime syndicate, notable for its gritty tone and ensemble cast.
  • B. In the Line of Fire
    In the Line of Fire is a 1993 political thriller film starring Clint Eastwood as a veteran Secret Service agent haunted by his failure to protect President Kennedy while racing to stop a new presidential assassination plot.
  • C. Jailer
    Jailer is a 2023 Indian Tamil-language action film starring Rajinikanth as a retired jailer drawn back into a violent underworld conflict.
  • D. Karisma
    Karisma is the first name of Karisma Kapoor, a prominent Indian film actress known for her work in Hindi cinema since the 1990s.
  • E. Aakrosh
    Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.