Triple

T7072858
Position Surface form Disambiguated ID Type / Status
Subject Harry Bentley E164741 entity
Predicate familyName P18 FINISHED
Object Bentley
Bentley is a British luxury automobile manufacturer renowned for its high-performance, handcrafted grand tourers and sedans.
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: [Harry Bentley, familyName, Bentley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bentley
Context triple: [Harry Bentley, familyName, 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 British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
  • D. Aston Martin
    Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
  • E. Bentley Mulliner
    Bentley Mulliner is Bentley Motors’ bespoke coachbuilding and customization division, renowned for creating highly personalized, ultra-luxury versions of the brand’s cars.
  • 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: [Harry Bentley, familyName, Bentley]
Generated description
Bentley is a British luxury automobile manufacturer renowned for its high-performance, handcrafted grand tourers and sedans.
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, handcrafted grand tourers and sedans.
  • 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 small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
  • 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. Aston Martin
    Aston Martin is a British luxury sports car manufacturer renowned for its high-performance grand tourers and long association with the James Bond film franchise.
  • E. Bentley Mulliner
    Bentley Mulliner is Bentley Motors’ bespoke coachbuilding and customization division, renowned for creating highly personalized, ultra-luxury versions of the brand’s cars.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7950271a48190b6e0c3f307ebdc5a completed March 28, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7957439b8819081fb2721bbd8b65c completed March 28, 2026, 8:46 a.m.
Created at: March 27, 2026, 2:39 p.m.