Triple

T23350737
Position Surface form Disambiguated ID Type / Status
Subject H. J. Mulliner E591999 entity
Predicate client P27 FINISHED
Object Bentley
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
E38523 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: Bentley | Statement: [H. J. Mulliner, client, Bentley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentley
Context triple: [H. J. Mulliner, client, Bentley]
  • A. Bentley
    Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • B. Bentley
    Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
  • C. Bentley
    Bentley is a residential and industrial area within the Metropolitan Borough of Walsall in the West Midlands, England.
  • D. Bentley
    Bentley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • E. Bentley
    Bentley is a former coal mining town in South Yorkshire, England, historically associated with the Yorkshire coalfield.
  • 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: Bentley
Triple: [H. J. Mulliner, client, Bentley]
Generated description
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bentley
Target entity description: Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • A. Bentley chosen
    Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • B. Bentley
    Bentley is a surname of English origin borne by various notable individuals across fields such as entertainment, sports, and academia.
  • C. Bentley
    Bentley is a small rural village and civil parish in East Hampshire, England, known for its countryside setting and traditional English character.
  • D. Bentley
    Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • E. Bentley
    Bentley is a residential and industrial area within the Metropolitan Borough of Walsall in the West Midlands, England.
  • F. None of above.

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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1401748190b77df0a45c2aeebf completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcc2fec819095f0457c311c25b6 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f0188388190a76923ea497f1b04 completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fd0c4e88190901c08e6c969e7ac completed May 19, 2026, 1:04 p.m.
Created at: April 17, 2026, 5:19 p.m.