Triple

T1814770
Position Surface form Disambiguated ID Type / Status
Subject John R. Hicks E40411 entity
Predicate familyName P18 FINISHED
Object Hicks E121469 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: Hicks | Statement: [John R. Hicks, familyName, Hicks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hicks
Context triple: [John R. Hicks, familyName, Hicks]
  • A. Hicks chosen
    Hicks is a common English surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
  • B. Hicks Stone
    Hicks Stone is an American architect and author known for preserving and documenting the legacy of his father, modernist architect Edward Durell Stone.
  • C. Hodges
    Hodges is a surname most famously associated with Gil Hodges, the American Major League Baseball first baseman and manager.
  • D. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • E. Hawkes
    Hawkes is the surname of Sylvia Ashley, a British model, actress, and socialite known for her high-profile marriages in the early 20th century.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f4628481909ca8e4c2302752ac completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf5de46c8190817f67d692e98803 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.