Triple

T4294333
Position Surface form Disambiguated ID Type / Status
Subject Ashley Gibb E99673 entity
Predicate sibling P363 FINISHED
Object Michael Gibb E104807 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: Michael Gibb | Statement: [Ashley Gibb, sibling, Michael Gibb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Gibb
Context triple: [Ashley Gibb, sibling, Michael Gibb]
  • A. Michael Gibb chosen
    Michael Gibb is one of the sons of Barry Gibb, the famed singer-songwriter and member of the Bee Gees.
  • B. Tony Gibbs
    Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
  • C. Donald McAlpine
    Donald McAlpine is an acclaimed Australian cinematographer known for his visually distinctive work on numerous prominent films across several decades.
  • D. Gregory Martin
    Gregory Martin was a 16th-century English Catholic scholar and priest best known for producing the first complete English translation of the Bible from the Latin Vulgate, which became the Douay–Rheims Bible.
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35083f87c8190a3d3b323e76ab575 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c73d47448190a844bc13eae84a54 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.