Triple

T21512719
Position Surface form Disambiguated ID Type / Status
Subject Bob Sikes Airport E530767 entity
Predicate namedAfter P63 FINISHED
Object Bob Sikes NE NERFINISHED

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: Bob Sikes | Statement: [Bob Sikes Airport, namedAfter, Bob Sikes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Sikes
Context triple: [Bob Sikes Airport, namedAfter, Bob Sikes]
  • A. Bob Sikes chosen
    Bob Sikes was a long-serving U.S. Congressman from Florida known for his influence on military and infrastructure development in the state.
  • B. Bill Snibson
    Bill Snibson is the boisterous, working-class Cockney hero of the musical "Me and My Girl," whose unexpected inheritance of an aristocratic title drives the show's central comedy and romance.
  • C. Mick Shipman
    Mick Shipman is a down-to-earth, good-natured family man and father figure in the British sitcom "Gavin & Stacey."
  • D. Robert Sisk
    Robert Sisk was an American film producer active during Hollywood’s studio era, known for overseeing a range of popular genre films in the 1930s and 1940s.
  • E. Merl Saunders
    Merl Saunders was an American keyboardist and composer best known for his soulful collaborations with Jerry Garcia that blended rock, jazz, and R&B.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea8779c081908171c58d345d54ae completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.