Triple

T16674667
Position Surface form Disambiguated ID Type / Status
Subject Making Plans for Nigel E405186 entity
Predicate hasCharacter P2308 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: [Making Plans for Nigel, hasCharacter, Nigel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel
Context triple: [Making Plans for Nigel, hasCharacter, 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 a masculine given name of Irish and Scottish origin, commonly used in English-speaking countries.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091927a408190a612a9ae2fd30d0a completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.