Triple

T4440923
Position Surface form Disambiguated ID Type / Status
Subject Commando E95767 entity
Predicate antagonist P4675 FINISHED
Object Bennett E439222 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: Bennett | Statement: [Commando, antagonist, Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennett
Context triple: [Commando, antagonist, Bennett]
  • A. Bennett
    Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
  • B. Bennett chosen
    Bennett is the main villain and former comrade-turned-mercenary antagonist who battles Arnold Schwarzenegger’s character in the 1985 action film "Commando."
  • C. Bennett Holiday
    Bennett Holiday is a young, ambitious Washington lawyer in the geopolitical thriller film "Syriana," navigating corruption and power struggles in the oil industry.
  • D. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • E. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.