Triple

T20878168
Position Surface form Disambiguated ID Type / Status
Subject Dan Fogler E514074 entity
Predicate notableWork P4 FINISHED
Object Barely Lethal E46508 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: Barely Lethal | Statement: [Dan Fogler, notableWork, Barely Lethal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barely Lethal
Context triple: [Dan Fogler, notableWork, Barely Lethal]
  • A. Barely Lethal chosen
    Barely Lethal is a 2015 action-comedy film about a teenage assassin trying to live a normal high school life, starring Hailee Steinfeld and Samuel L. Jackson.
  • B. Naked Weapon
    Naked Weapon is a 2002 Hong Kong action-thriller film known for its stylized martial arts sequences and for helping launch Maggie Q to international prominence.
  • C. Hard to Kill
    Hard to Kill is a professional wrestling pay-per-view event produced annually by Impact Wrestling.
  • D. Hard to Kill
    Hard to Kill is a 2006 studio album by American rapper Gucci Mane that helped establish his signature trap sound in the Atlanta hip-hop scene.
  • E. Hard to Kill
    Hard to Kill is a 1990 action film starring Steven Seagal as a detective who awakens from a coma to seek revenge against corrupt politicians and criminals who tried to kill him.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c6775f108190a79cd5e8c31cecf6 completed April 21, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0913a242e08190be0a234ba5221a3a completed May 17, 2026, 1:02 a.m.
Created at: April 16, 2026, 12:45 p.m.