Triple

T21241453
Position Surface form Disambiguated ID Type / Status
Subject Wood Brothers Racing E523483 entity
Predicate longtimeManufacturerPartner P143334 FINISHED
Object Ford NE NERFINISHED

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: [Wood Brothers Racing, longtimeManufacturerPartner, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford
Context triple: [Wood Brothers Racing, longtimeManufacturerPartner, 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.
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 producing a wide range of cars, trucks, and performance vehicles and for its long-standing involvement in motorsports.
  • A. Ford
    Ford is a major American automobile manufacturer known for pioneering mass production and producing iconic vehicles such as the Model T and Mustang.
  • B. 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.
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: longtimeManufacturerPartner
Context triple: [Wood Brothers Racing, longtimeManufacturerPartner, Ford]
  • A. formerManufacturerPartner
    Indicates that two entities were previously in a manufacturer–partner business relationship, but that partnership has since ended.
  • B. merchandisingPartner
    Indicates a relationship where one party collaborates with another to plan, manage, or execute the promotion, display, or sale of products or services.
  • C. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • D. aircraftManufacturerPartner
    Indicates a partnership relationship between an aircraft manufacturer and another entity, typically for collaboration in design, production, or related aerospace activities.
  • E. acquisitionPartner
    Indicates a relationship where one entity collaborates with or assists another in acquiring a third entity, asset, or resource.
  • F. None of above. chosen

Provenance (4 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735239f48819091ffe518b1aed2e8 completed April 21, 2026, 8:28 a.m.
PD Predicate disambiguation batch_69e5f61239708190ab7b3c83ae848a0d completed April 20, 2026, 9:46 a.m.
PDg Predicate description generation batch_69e5f9943ed881909ef49045c5bcf6df completed April 20, 2026, 10:01 a.m.
Created at: April 16, 2026, 3:47 p.m.