Triple

T17259445
Position Surface form Disambiguated ID Type / Status
Subject The Ultimate Warrior E418971 entity
Predicate alsoKnownAs P39 FINISHED
Object Jim Hellwig NE NERFINISHED

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: Jim Hellwig | Statement: [The Ultimate Warrior, alsoKnownAs, Jim Hellwig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Hellwig
Context triple: [The Ultimate Warrior, alsoKnownAs, Jim Hellwig]
  • A. James Brian Hellwig chosen
    James Brian Hellwig was an American professional wrestler best known for his high-energy persona and iconic run in the WWF as The Ultimate Warrior.
  • B. Greg Wuliger
    Greg Wuliger is Chris Rock’s loyal, nerdy best friend in the sitcom "Everybody Hates Chris," known for his quirky personality and unwavering support.
  • C. Chris Hellman
    Chris Hellman is a philanthropist and former ballet dancer known for her support of the arts, particularly through her work with the San Francisco Ballet and other cultural institutions.
  • D. Scott Huler
    Scott Huler is an American author and journalist known for his narrative nonfiction works that often explore science, technology, and culture.
  • E. Kevin Biegel
    Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6fa940819089046d1b12dede2c completed April 19, 2026, 1:22 a.m.
Created at: April 10, 2026, 5:39 a.m.