Triple

T15088443
Position Surface form Disambiguated ID Type / Status
Subject Leroy P. Steele E360345 entity
Predicate hasFamilyName P18 FINISHED
Object Steele E296411 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: Steele | Statement: [Leroy P. Steele, hasFamilyName, Steele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steele
Context triple: [Leroy P. Steele, hasFamilyName, Steele]
  • A. Steele chosen
    Steele is a surname most notably borne by Charles Steele Jr., an American civil rights leader and former president of the Southern Christian Leadership Conference.
  • B. Steele
    Steele is a historic district of the German city of Essen, known for its riverside location along the Ruhr and its blend of residential, commercial, and cultural areas.
  • C. Steeles
    Steeles is a residential and commercial neighbourhood located at the northern edge of Scarborough in Toronto, Ontario, known for its diverse community and suburban character.
  • D. Blakely
    Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
  • E. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00276d1608190bc310d5b86ecd1d5 completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae1ba4208190b1e8c55668a1b422 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:04 a.m.