Triple

T19910867
Position Surface form Disambiguated ID Type / Status
Subject Fort Benning E478541 entity
Predicate namedAfter P63 FINISHED
Object Henry L. 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: Henry L. Benning | Statement: [Fort Benning, namedAfter, Henry L. Benning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry L. Benning
Context triple: [Fort Benning, namedAfter, Henry L. Benning]
  • A. Henry L. Benning
    Henry L. Benning was a Confederate general and Georgia Supreme Court justice whose name was later given to the U.S. Army post Fort Benning.
  • B. William H. Reynolds
    William H. Reynolds was an American film editor renowned for his work on numerous classic Hollywood films across several decades.
  • C. William Rabun
    William Rabun was an early 19th-century Georgia politician who served as the state's governor and lent his name to Rabun County.
  • D. Henry Lewis Benning chosen
    Henry Lewis Benning was a Confederate general in the American Civil War and a Georgia Supreme Court justice for whom Fort Benning was named.
  • E. W. K. Pendleton
    W. K. Pendleton was a 19th-century American Restoration Movement leader and educator closely associated with Alexander Campbell and the publication of The Millennial Harbinger.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598f31c481908a5a1d9a5656f698 completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.