Triple

T9963994
Position Surface form Disambiguated ID Type / Status
Subject Nigel Gresley E195635 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 Gresley, givenName, Nigel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel
Context triple: [Nigel Gresley, 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 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.
  • D. Colin
    Colin is a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
  • E. Nigel Wick
    Nigel Wick is a comically tyrannical and eccentric British boss on the American sitcom "The Drew Carey Show," known for his outrageous behavior and antagonistic relationship with the main character.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71a33b48190a18c1a9023f249d2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d993404819089c9a71d03721e0b completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:47 p.m.