Triple

T13348973
Position Surface form Disambiguated ID Type / Status
Subject Randy Orton E318023 entity
Predicate trainedBy P3665 FINISHED
Object Bob Orton Jr. E1035169 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: Bob Orton Jr. | Statement: [Randy Orton, trainedBy, Bob Orton Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Orton Jr.
Context triple: [Randy Orton, trainedBy, Bob Orton Jr.]
  • A. Bob Orton Jr. chosen
    Bob Orton Jr. is a retired American professional wrestler best known for his prominent 1980s WWF run, often remembered for his cast-wearing "Cowboy" persona and association with stars like Roddy Piper.
  • B. Mark Henry
    Mark Henry is a retired American professional wrestler and former Olympic weightlifter best known for his powerful "World's Strongest Man" persona in WWE.
  • C. Lex Luger
    Lex Luger is an American record producer known for pioneering the bombastic, hard-hitting trap sound that shaped early 2010s hip-hop.
  • D. Lex Luger
    Lex Luger is an American former professional wrestler best known for his time in WCW and WWE during the 1990s, where he was a multiple-time champion and a prominent main-event star.
  • E. John Briscoe
    John Briscoe was a renowned engineer and water resources expert recognized globally for his contributions to water management and policy.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8b28e48190a23194e03a74b41b completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7397b871c819081272c48b3210e00 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:31 p.m.