Triple

T13317588
Position Surface form Disambiguated ID Type / Status
Subject James Gordon Bennett Sr. E317228 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: [James Gordon Bennett Sr., familyName, Bennett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennett
Context triple: [James Gordon Bennett Sr., 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. Benet
    Benet is a commune in the Vendée department of western France, known for its rural character and location near the Marais Poitevin marshlands.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f9a384819085890e18255ee339 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2a8ba88190a59bc4840ec8ad13 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.