Triple

T7052450
Position Surface form Disambiguated ID Type / Status
Subject Supreme Court building, London E163998 entity
Predicate architect P184 FINISHED
Object James Gibson E234659 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: James Gibson | Statement: [Supreme Court building, London, architect, James Gibson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Gibson
Context triple: [Supreme Court building, London, architect, James Gibson]
  • A. James Gibson chosen
    James Gibson was a British architect best known for designing the Middlesex Guildhall in London, now home to the Supreme Court of the United Kingdom.
  • B. James Gibson
    James Gibson is a screenwriter best known for his work on the crime drama film "Never Die Alone."
  • C. James J. Gibson
    James J. Gibson was an influential American psychologist best known for developing the ecological approach to visual perception and the concept of affordances.
  • D. David Marr
    David Marr was a pioneering British neuroscientist and psychologist whose theoretical work on vision and computational neuroscience fundamentally shaped modern cognitive science and artificial intelligence.
  • E. David M. Brown
    David M. Brown was a U.S. Navy captain and NASA astronaut who served as a mission specialist on the ill-fated Space Shuttle Columbia STS-107 mission.
  • 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_69c68861678881909961ddf4d779f750 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2515bb48190ac0efed0dd4252ad completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78891bc5081909db384a35b45df4a completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.