Triple

T10996743
Position Surface form Disambiguated ID Type / Status
Subject Michael Gray E259891 entity
Predicate relative P37 FINISHED
Object John Shelby E262186 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: John Shelby | Statement: [Michael Gray, relative, John Shelby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Shelby
Context triple: [Michael Gray, relative, John Shelby]
  • A. John Shelby chosen
    John Shelby is a key member of the Shelby crime family in the British television series "Peaky Blinders," known for his fierce loyalty, volatility, and role in the gang's violent operations.
  • B. Charles G. Smith
    Charles G. Smith was an American engineer and businessman best known as a co-founder of the defense and aerospace company Raytheon.
  • C. J. Dallas Dort
    J. Dallas Dort was an American automobile pioneer and industrialist best known as the co-founder of the Durant-Dort Carriage Company, a key precursor to General Motors.
  • D. Guy Wilkerson
    Guy Wilkerson was an American character actor best known for his roles in Westerns and B-movies during the mid-20th century.
  • E. John Cothran Jr.
    John Cothran Jr. is an American character actor known for his supporting roles in film and television, including appearances in dramas and thrillers.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d6572c8190a47d68483863ad7a completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4830a903481909eaf327457eabf2b completed April 19, 2026, 7:23 a.m.
Created at: April 8, 2026, 9:24 p.m.