Triple

T2129751
Position Surface form Disambiguated ID Type / Status
Subject Barely Lethal E46508 entity
Predicate screenplayBy P15305 FINISHED
Object John D'Arco E237362 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: John D'Arco | Statement: [Barely Lethal, screenplayBy, John D'Arco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John D'Arco
Context triple: [Barely Lethal, screenplayBy, John D'Arco]
  • A. John D'Arco chosen
    John D'Arco is a screenwriter best known for penning the action-comedy film "Barely Lethal."
  • B. Dominick Pangallo
    Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
  • C. Robert Salerno
    Robert Salerno is an American film producer known for his work on acclaimed independent films, including collaborations with directors like Tom Ford and Jim Jarmusch.
  • D. Robert Hue
    Robert Hue is a French politician who led the French Communist Party in the 1990s and early 2000s and ran as its candidate in the 1995 and 2002 presidential elections.
  • E. Alan Di Fiore
    Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58d10bec8190bf21718649552118 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.