Triple

T4974633
Position Surface form Disambiguated ID Type / Status
Subject Clifford Chance E111734 entity
Predicate formedByMergerOf P77 FINISHED
Object Clifford-Turner E482362 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: Clifford-Turner | Statement: [Clifford Chance, formedByMergerOf, Clifford-Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clifford-Turner
Context triple: [Clifford Chance, formedByMergerOf, Clifford-Turner]
  • A. Clifford-Turner chosen
    Clifford-Turner was a prominent London-based law firm that later became part of the global legal practice Clifford Chance.
  • B. Ross Turner
    Ross Turner is a name shared by several individuals, most notably an American politician who has served in the South Carolina State Senate.
  • C. Stephen Turner
    Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
  • D. Clifford Vaughan
    Clifford Vaughan was an American film composer and orchestrator active in early Hollywood, known for his work on classic genre films.
  • E. Clifford
    Clifford is the young boy protagonist of the 1991 horror-comedy film "Critters 3."
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd722e77208190833dc760a57428d5 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a01e548819087e3a6ae2cd581b9 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.