Triple

T21532184
Position Surface form Disambiguated ID Type / Status
Subject Arnold Clark E531256 entity
Predicate sellsBrand P38689 FINISHED
Object Ford
Ford is a major American automobile manufacturer known for pioneering assembly-line mass production and producing popular models such as the Mustang and F-Series trucks.
 E1465782 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: Ford | Statement: [Arnold Clark, sellsBrand, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ford
Context triple: [Arnold Clark, sellsBrand, Ford]
  • A. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • B. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • C. Ford
    Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
  • D. Ford
    Ford is a small village in Argyll and Bute, western Scotland, known for its scenic location near Loch Awe and its historic rural character.
  • E. Ford
    Ford is the NATO reporting name for the Douglas F4D Skyray, a Cold War-era U.S. Navy carrier-based jet fighter.
  • 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: Ford
Triple: [Arnold Clark, sellsBrand, Ford]
Generated description
Ford is a major American automobile manufacturer known for pioneering assembly-line mass production and producing popular models such as the Mustang and F-Series trucks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ford
Target entity description: Ford is a major American automobile manufacturer known for pioneering assembly-line mass production and producing popular models such as the Mustang and F-Series trucks.
  • A. Ford chosen
    Ford is a major American automobile manufacturer known for pioneering assembly-line mass production and producing iconic vehicles such as the Model T and the F-Series trucks.
  • B. Ford
    Ford is a major American automobile manufacturer known for pioneering mass production and producing iconic vehicles such as the Model T and Mustang.
  • C. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • D. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • E. Ford
    Ford is the NATO reporting name for the Douglas F4D Skyray, a Cold War-era U.S. Navy carrier-based jet fighter.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af completed April 26, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e83156f48190aa472ffa77a4de57 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e8d6d1a88190b3f48111ed6a4043 completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09e94d6f2c819097df5c0a2b59e63a completed May 17, 2026, 4:14 p.m.
Created at: April 16, 2026, 6:27 p.m.