Triple

T22058853
Position Surface form Disambiguated ID Type / Status
Subject David Carl Allison E545096 entity
Predicate manufacturerDriven P103670 FINISHED
Object Ford NE NERFINISHED

How this triple was built (3 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: [David Carl Allison, manufacturerDriven, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford
Context triple: [David Carl Allison, manufacturerDriven, Ford]
  • A. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • B. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • 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 the NATO reporting name for the Douglas F4D Skyray, a Cold War-era U.S. Navy carrier-based jet fighter.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: manufacturerDriven
Context triple: [David Carl Allison, manufacturerDriven, Ford]
  • A. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • B. usedManufacturer
    Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
  • C. formerManufacturer
    Indicates that an entity previously manufactured another entity but no longer does so.
  • D. droveManufacturer chosen
    Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
  • E. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • F. None of above.

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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ac9608190ab4f89d4ee7350d0 completed April 28, 2026, 9:36 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:27 p.m.