Triple

T19752066
Position Surface form Disambiguated ID Type / Status
Subject Benjamin T. Green E474402 entity
Predicate knownAs P39 FINISHED
Object Benjamin T. Green 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: Benjamin T. Green | Statement: [Benjamin T. Green, knownAs, Benjamin T. Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benjamin T. Green
Context triple: [Benjamin T. Green, knownAs, Benjamin T. Green]
  • A. Benjamin T. Green chosen
    Benjamin T. Green was an American leader and community builder known for co-founding the historically Black town of Mound Bayou, Mississippi.
  • B. Thomas J. Green
    Thomas J. Green was a prominent historical figure associated with Texas, likely a politician, military leader, or early settler influential enough to have the city of Greenville named in his honor.
  • C. Benjamin F. Blodgett
    Benjamin F. Blodgett is an individual notable enough to be specifically cited as a bearer of the Blodgett surname, though detailed public information about his life or achievements appears limited.
  • D. Bernard L. Green
    Bernard L. Green was an architect known for designing the building known as The Big House.
  • E. Benjamin Harvey
    Benjamin Harvey was a 19th-century British entrepreneur best known for establishing the luxury department store that evolved into Harvey Nichols.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.