Triple

T9257364
Position Surface form Disambiguated ID Type / Status
Subject Christopher Nolan E222478 entity
Predicate child P120 FINISHED
Object Oliver Nolan E222478 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: Oliver Nolan | Statement: [Christopher Nolan, child, Oliver Nolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Nolan
Context triple: [Christopher Nolan, child, Oliver Nolan]
  • A. Oliver Nolan chosen
    Oliver Nolan is one of the children of British film producer Emma Thomas and her husband, acclaimed director Christopher Nolan.
  • B. Oliver Johnson
    Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
  • C. Oliver Stark
    Oliver Stark is a British actor best known for playing firefighter Evan "Buck" Buckley on the television drama series 9-1-1.
  • D. Oliver Wallace
    Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
  • E. Oliver Smith
    Oliver Smith was a prominent American theatrical producer and scenic designer known for his influential work on numerous Broadway musicals and plays in the mid-20th century.
  • 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_69ca841e4cd481908e738c74e958eaea completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd06b660448190b6bc04beff0f5512 completed April 1, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09be75fd88190b6e99b0884dcc14c completed April 4, 2026, 5:04 a.m.
Created at: March 30, 2026, 7:32 p.m.