Triple

T1033447
Position Surface form Disambiguated ID Type / Status
Subject BEA Systems E22303 entity
Predicate keyPerson P256 FINISHED
Object Ed Scott E229824 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: Ed Scott | Statement: [BEA Systems, keyPerson, Ed Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Scott
Context triple: [BEA Systems, keyPerson, Ed Scott]
  • A. Ed Scott chosen
    Ed Scott is a technology entrepreneur best known as a co-founder of BEA Systems, a major enterprise software company later acquired by Oracle.
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • D. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • E. Kevin McClory
    Kevin McClory was an Irish screenwriter, producer, and director best known for his long-running legal battles and involvement in the creation and adaptation of the James Bond story "Thunderball."
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b812c9948190a37c2b1d3d32ea38 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae5150360881909dabd3d6d12f83e1 completed March 9, 2026, 4:49 a.m.
Created at: March 1, 2026, 7:41 p.m.