Triple

T506183
Position Surface form Disambiguated ID Type / Status
Subject Joe Gibbs E10506 entity
Predicate givenName P17 FINISHED
Object Joe E64867 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: Joe | Statement: [Joe Gibbs, givenName, Joe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe
Context triple: [Joe Gibbs, givenName, Joe]
  • A. Joe chosen
    Joe is the given name of Joe Nickell, an American investigator and author known for his work examining alleged paranormal and mysterious phenomena.
  • B. Jim
    Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • C. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • D. Jason
    Jason is a famed hero of Greek mythology best known as the leader of the Argonauts in their quest for the Golden Fleece.
  • E. Jason
    Jason is the official mascot of the Canadian Football League’s Toronto Argonauts, typically depicted as a spirited, fan-engaging character representing the team.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14c83f08190b1028f4929866db4 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed30d578819091c6c1f4c5eba301 completed March 2, 2026, 1:51 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.