Triple

T17095065
Position Surface form Disambiguated ID Type / Status
Subject Kim Hughes E414824 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Andy Dixon NE ONNED1

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: Andy Dixon | Statement: [Kim Hughes, hasRelationshipWith, Andy Dixon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Dixon
Context triple: [Kim Hughes, hasRelationshipWith, Andy Dixon]
  • A. Andy Dixon chosen
    Andy Dixon is the son of former Australian cricket captain Kim Hughes.
  • B. Don Dixon
    Don Dixon is an American record producer, songwriter, and musician known for his influential work in the jangle pop and alternative rock scenes, including producing early albums by R.E.M. and other notable artists.
  • C. Jon Dixon
    Jon Dixon is a central character in the drama series "A Million Little Things," whose unexpected death profoundly impacts his close-knit group of friends and drives much of the show's emotional narrative.
  • D. Ken Dixon
    Ken Dixon is a Canadian entrepreneur and film industry professional best known as the husband of actress Jennifer Beals.
  • E. Ron Dixon
    Ron Dixon is a former NFL wide receiver and kick returner best known for his explosive return touchdowns for the New York Giants during their run to Super Bowl XXXV.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0195428c6c8190a11e3f7c8f6796fe in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:35 a.m.