Triple

T6755616
Position Surface form Disambiguated ID Type / Status
Subject Dean Ambrose E154449 entity
Predicate trainedBy P3665 FINISHED
Object Al Snow E600070 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: Al Snow | Statement: [Dean Ambrose, trainedBy, Al Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Snow
Context triple: [Dean Ambrose, trainedBy, Al Snow]
  • A. Al Snow chosen
    Al Snow is a retired professional wrestler best known for his work in WWE and ECW, as well as for training aspiring wrestlers on the reality series WWE Tough Enough.
  • B. A. J. Frost
    A. J. Frost was a Canadian market analyst and author best known for co-authoring the seminal book on Elliott Wave Theory, which helped establish it as a major tool in technical analysis.
  • C. Ed Eagan
    Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
  • D. Frosty Cox
    Frosty Cox was an American college basketball coach best known for his successful tenure leading the University of Colorado men's basketball program in the mid-20th century.
  • E. Jerry Sohl
    Jerry Sohl was an American science fiction author and screenwriter known for his work on television series such as Star Trek, The Twilight Zone, and The Outer Limits.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f5ab0881908619b835b9f068d4 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1e477481909e4fca040f4894f4 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.