Triple

T16324179
Position Surface form Disambiguated ID Type / Status
Subject Nigel Lythgoe E396371 entity
Predicate givenName P17 FINISHED
Object Nigel E107138 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: Nigel | Statement: [Nigel Lythgoe, givenName, Nigel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel
Context triple: [Nigel Lythgoe, givenName, Nigel]
  • A. Nigel chosen
    Nigel is a masculine given name of English origin, historically derived from the Latin name Nigellus and commonly used in the UK and other English-speaking countries.
  • B. Nigel
    Nigel is the villainous, vengeful cockatoo who serves as the primary antagonist in the animated film Rio 2.
  • C. Nigel Robinson
    Nigel Robinson is a British author and editor best known for his work on Doctor Who novelizations and related science fiction tie-in books.
  • D. Nigel Newton
    Nigel Newton is a British-American publisher best known as the founder and longtime chief executive of Bloomsbury Publishing, the company that published the Harry Potter series.
  • E. Colin
    Colin is the whimsical, jazz-loving protagonist of the surreal French film "Mood Indigo," whose life and romance are upended by a fantastical illness.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ab4208190900f21cb4f08f926 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.