Triple

T10523843
Position Surface form Disambiguated ID Type / Status
Subject Mr Bennet E248244 entity
Predicate familyName P18 FINISHED
Object Bennet E857373 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: Bennet | Statement: [Mr Bennet, familyName, Bennet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennet
Context triple: [Mr Bennet, familyName, Bennet]
  • A. Bennet chosen
    Bennet is the surname of the central family in Jane Austen’s novel "Pride and Prejudice," including the protagonist Elizabeth Bennet.
  • B. Bennett
    Bennett is a common English-language surname of Anglo-Norman origin borne by numerous notable individuals across politics, arts, and sciences.
  • C. Bennett
    Bennett is the main villain and former comrade-turned-mercenary antagonist who battles Arnold Schwarzenegger’s character in the 1985 action film "Commando."
  • D. Lydia Bennet
    Lydia Bennet is the impulsive, flirtatious youngest Bennet sister in Jane Austen’s novel "Pride and Prejudice," whose elopement scandal threatens her family’s reputation.
  • E. Bennet Tyler
    Bennet Tyler was a 19th-century American Congregationalist theologian and educator associated with the New England theological tradition.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e155b08190996325bf484ec55d completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e1c73208190aa3d3e30aa4482ac completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:29 p.m.