Triple

T9809413
Position Surface form Disambiguated ID Type / Status
Subject Craig Chambers E238229 entity
Predicate languageDesigned P20615 FINISHED
Object Diesel E356396 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: Diesel | Statement: [Craig Chambers, languageDesigned, Diesel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diesel
Context triple: [Craig Chambers, languageDesigned, Diesel]
  • A. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • B. Diesel (brand) chosen
    Diesel is an Italian fashion brand known for its premium denim, edgy casualwear, and bold, youth-oriented lifestyle products.
  • C. Dynamo Diesel
    Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
  • D. Mack
    Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
  • E. Van Doos
    Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb220310c8190a16ca0b746f0ef7a completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5b4dd8819088c86946b4eb8a39 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.