Triple

T840230
Position Surface form Disambiguated ID Type / Status
Subject Jackson E18159 entity
Predicate hasVariant P455 FINISHED
Object Jaxson E89308 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: Jaxson | Statement: [Jackson, hasVariant, Jaxson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaxson
Context triple: [Jackson, hasVariant, Jaxson]
  • A. Jaxon chosen
    Jaxon is a modern given name, typically a contemporary spelling variant of the traditional name Jackson.
  • B. Austin Rivers
    Austin Rivers is an American professional basketball player known for his scoring ability and time in the NBA with multiple teams, including the Los Angeles Clippers and Houston Rockets.
  • C. Hayden Fox
    Hayden Fox is the gruff but good-hearted college football coach protagonist from the American sitcom "Coach," portrayed by actor Craig T. Nelson.
  • D. Dexter Jackson
    Dexter Jackson is a former NFL safety best known for his standout performance with the Tampa Bay Buccaneers, including earning Super Bowl XXXVII Most Valuable Player honors.
  • E. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe5d7848190b15e0cb343b6f4ba completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b8c9b081908fd04ac23d45e932 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.