Triple

T4974631
Position Surface form Disambiguated ID Type / Status
Subject Clifford Chance E111734 entity
Predicate foundedAs P364 FINISHED
Object Clifford-Turner
Clifford-Turner was a prominent London-based law firm that later became part of the global legal practice Clifford Chance.
 E482362 NE FINISHED

How this triple was built (4 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, foundedAs, Clifford-Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clifford-Turner
Context triple: [Clifford Chance, foundedAs, Clifford-Turner]
  • A. 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.
  • B. Stephen Turner
    Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
  • C. Clifford Vaughan
    Clifford Vaughan was an American film composer and orchestrator active in early Hollywood, known for his work on classic genre films.
  • D. Clifford
    Clifford is an English surname historically associated with several notable figures in British politics, nobility, and public life.
  • E. Clifford
    Clifford is the young boy protagonist of the 1991 horror-comedy film "Critters 3."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Clifford-Turner
Triple: [Clifford Chance, foundedAs, Clifford-Turner]
Generated description
Clifford-Turner was a prominent London-based law firm that later became part of the global legal practice Clifford Chance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clifford-Turner
Target entity description: Clifford-Turner was a prominent London-based law firm that later became part of the global legal practice Clifford Chance.
  • A. 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.
  • B. Stephen Turner
    Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
  • C. Clifford Vaughan
    Clifford Vaughan was an American film composer and orchestrator active in early Hollywood, known for his work on classic genre films.
  • D. Clifford
    Clifford is an English surname historically associated with several notable figures in British politics, nobility, and public life.
  • E. Clifford
    Clifford is the young boy protagonist of the 1991 horror-comedy film "Critters 3."
  • F. None of above. chosen

Provenance (5 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_69be81fcd98081909759612c94ab37d2 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be8387ac98819081d353ef7b7aea35 completed March 21, 2026, 11:39 a.m.
NED2 Entity disambiguation (via description) batch_69be83d5f1cc8190a8e44261244f7a1d completed March 21, 2026, 11:41 a.m.
Created at: March 20, 2026, 1:33 p.m.