Triple

T20040307
Position Surface form Disambiguated ID Type / Status
Subject Benning Wentworth E497394 entity
Predicate givenName P17 FINISHED
Object Benning NE NERFINISHED

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: Benning | Statement: [Benning Wentworth, givenName, Benning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benning
Context triple: [Benning Wentworth, givenName, Benning]
  • A. Benning
    Benning is a residential neighborhood in Northeast Washington, D.C., known for its proximity to major thoroughfares and access to public transit.
  • B. Benning chosen
    Benning is a masculine given name of English origin, historically associated with figures such as colonial governor Benning Wentworth.
  • C. Carle
    Carle is a given name most notably borne by the 18th-century French painter Carle Van Loo, a prominent figure in the Rococo art movement.
  • D. Fort Sam
    Fort Sam is a major U.S. Army installation in San Antonio, Texas, known as the "Home of Army Medicine" and a key component of Joint Base San Antonio.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eae538819083c74d7a2ab493d2 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.