Triple

T3933402
Position Surface form Disambiguated ID Type / Status
Subject Lemuel Bowen E90849 entity
Predicate associatedWith P37 FINISHED
Object Cadillac E256120 NE FINISHED

How this triple was built (2 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: Cadillac | Statement: [Lemuel Bowen, associatedWith, Cadillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadillac
Context triple: [Lemuel Bowen, associatedWith, Cadillac]
  • A. Cadillac
    Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
  • B. Cadillac chosen
    Cadillac is a small city in northern Michigan known for its surrounding lakes, outdoor recreation, and role as a regional tourism and service hub.
  • C. Buick
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • D. Cadillac Fairview
    Cadillac Fairview is a major Canadian real estate company that develops, owns, and manages prominent shopping centres and office properties across Canada.
  • E. Pontiac
    Pontiac is a city in southeast Michigan known historically as an automotive manufacturing center and the seat of Oakland County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627a72da881908e1a4965177727eb completed March 15, 2026, 3:29 a.m.
Created at: March 9, 2026, 3:23 p.m.