Triple

T3640142
Position Surface form Disambiguated ID Type / Status
Subject Clive Francis E77167 entity
Predicate givenName P17 FINISHED
Object Clive E12753 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 Francis, givenName, Clive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clive
Context triple: [Clive Francis, givenName, Clive]
  • A. Clive chosen
    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. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • C. Simon Dunsdon
    Simon Dunsdon is a cinematographer known for his work on the animated film "Hotel Transylvania 3: Summer Vacation."
  • D. Richard Clifford
    Richard Clifford is a British actor and director known for his work in theatre and film, as well as his long-term partnership with Sir Derek Jacobi.
  • E. Hugo Carmody
    Hugo Carmody is a charming, somewhat hapless young gentleman from P. G. Wodehouse’s Blandings Castle stories, often embroiled in romantic entanglements and comic misadventures.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32b83188190bfc0ed4dc8f66730 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.