Triple

T8361330
Position Surface form Disambiguated ID Type / Status
Subject Matheson E197012 entity
Predicate hasNotableBearer P458 FINISHED
Object John Matheson E461523 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 Matheson | Statement: [Matheson, hasNotableBearer, John Matheson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Matheson
Context triple: [Matheson, hasNotableBearer, John Matheson]
  • A. John Matheson chosen
    John Matheson was a Canadian lawyer, judge, and politician best known as a key architect of Canada’s modern national flag.
  • B. John Murray Forbes
    John Murray Forbes was a prominent 19th-century American railroad magnate, investor, and abolitionist who played a key role in the development of the U.S. railroad system and supported anti-slavery causes.
  • C. John Mathieson
    John Mathieson is a British cinematographer known for his visually striking work on major films, particularly in collaboration with directors like Ridley Scott and Guy Ritchie.
  • D. John Ballantyne
    John Ballantyne is the amnesiac patient and central male protagonist in Alfred Hitchcock’s 1945 psychological thriller "Spellbound."
  • E. Charles Maxwell
    Charles Maxwell was a composer known for creating music for films, including the score for the movie "Grand Hotel."
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8074e4588190b394d1622adca2cb completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc775a548819090c83d916b352f41 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 6 p.m.