Triple

T17702694
Position Surface form Disambiguated ID Type / Status
Subject Clive Revill E441347 entity
Predicate givenName P17 FINISHED
Object Clive NE NERFINISHED

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: Clive | Statement: [Clive Revill, givenName, Clive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clive
Context triple: [Clive Revill, givenName, Clive]
  • A. Clive
    Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
  • B. Clive chosen
    Clive is a suburban city in central Iowa, United States, known for its residential communities and location within the greater Des Moines metropolitan area.
  • C. Clive
    Clive is the foul-mouthed, surreal comic persona played by Peter Cook in the British comedy recordings "Derek and Clive" alongside Dudley Moore.
  • D. Cecil
    Cecil is a locality within the Downtown Core area, likely referring to a street or small neighborhood in the central business district of Singapore.
  • E. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729528b88190bd8a104f6f6d4e69 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.