Triple

T15506603
Position Surface form Disambiguated ID Type / Status
Subject Jewel Bundren E379097 entity
Predicate biologicalFather P1908 FINISHED
Object Whitfield E7380 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: Whitfield | Statement: [Jewel Bundren, biologicalFather, Whitfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitfield
Context triple: [Jewel Bundren, biologicalFather, Whitfield]
  • A. Whitfield chosen
    Whitfield is an English-origin surname historically associated with figures such as Louise Whitfield Carnegie, the wife of industrialist and philanthropist Andrew Carnegie.
  • B. Whitley
    Whitley is a British twin-engine, long-range bomber aircraft used by the Royal Air Force primarily during the early years of World War II.
  • C. Whitsett
    Whitsett is a small town located in Guilford County, North Carolina, known for its residential communities and proximity to the Greensboro metropolitan area.
  • D. Whitwood
    Whitwood is a residential and industrial area in West Yorkshire, England, situated on the outskirts of the town of Castleford.
  • E. Whitewell
    Whitewell is a small rural hamlet in Lancashire, England, known for its scenic setting in the Forest of Bowland and traditional stone buildings.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcea8888190a7b69aca360183c3 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366e472c819093472da2a49593c6 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.