Triple

T5253105
Position Surface form Disambiguated ID Type / Status
Subject Clive Russell E118634 entity
Predicate givenName P17 FINISHED
Object Clive E413838 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: Clive | Statement: [Clive Russell, givenName, Clive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clive
Context triple: [Clive Russell, 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. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • D. Clive Calder
    Clive Calder is a South African-born music executive and billionaire best known for building one of the world’s most successful independent record empires before selling it to major industry players.
  • E. Ivor
    Ivor is a masculine given name of Welsh origin, notably borne by the composer and actor Ivor Novello.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe72c91c8190ab0f988dca420399 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.