Triple

T10249906
Position Surface form Disambiguated ID Type / Status
Subject Kyle Newman E240312 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: [Kyle Newman, notableWork, Barely Lethal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barely Lethal
Context triple: [Kyle Newman, 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. Hard to Kill
    Hard to Kill is a professional wrestling pay-per-view event produced annually by Impact Wrestling.
  • C. Deadly Impact
    Deadly Impact is a 2009 action-thriller film about an FBI agent confronting a ruthless terrorist, directed by special effects veteran Robert Kurtzman.
  • D. The Blow
    The Blow is an American indie pop band known for its minimalist electronic sound and introspective, narrative-driven lyrics.
  • E. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7b66c6881908b432fbdd5ecf11e completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:28 a.m.