Triple

T14643494
Position Surface form Disambiguated ID Type / Status
Subject Donna Dixon E343784 entity
Predicate familyName P18 FINISHED
Object Dixon E117956 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: Dixon | Statement: [Donna Dixon, familyName, Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dixon
Context triple: [Donna Dixon, familyName, Dixon]
  • A. Dixon chosen
    Dixon is a small agricultural city in Northern California known historically for sheep ranching and its annual May Fair.
  • B. Dixon
    Dixon is an alternative name for Dikson, a remote Arctic settlement and port in northern Russia.
  • C. Dillon
    Dillon is a small city in southwestern Montana known as a regional hub for ranching, outdoor recreation, and as the home of the University of Montana Western.
  • D. Dillon
    Dillon is a tough, muscular CIA operative portrayed by Carl Weathers in the 1987 sci-fi action film "Predator."
  • E. Dillon
    Dillon is the middle name of famed American baseball player and manager Casey Stengel.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.