Triple

T8373559
Position Surface form Disambiguated ID Type / Status
Subject Henry Gordon Bennett E197517 entity
Predicate familyName P18 FINISHED
Object Bennett E80464 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: [Henry Gordon Bennett, familyName, Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennett
Context triple: [Henry Gordon Bennett, familyName, Bennett]
  • A. Bennett chosen
    Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
  • B. Bennett
    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. Bennet Tyler
    Bennet Tyler was a 19th-century American Congregationalist theologian and educator associated with the New England theological tradition.
  • E. Benn
    Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a7cab881909d8cca66a340dceb completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7dc7c6081909183716901fd2543 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 6:01 p.m.