Triple

T17384062
Position Surface form Disambiguated ID Type / Status
Subject Mike "Doc" Emrick E422641 entity
Predicate employer P7 FINISHED
Object Versus 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: Versus | Statement: [Mike "Doc" Emrick, employer, Versus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Versus
Context triple: [Mike "Doc" Emrick, employer, Versus]
  • A. Versus
    Versus is a contemporary sculpture by British artist Tony Cragg, exemplifying his exploration of dynamic organic forms and complex material structures.
  • B. Versus chosen
    Versus was a U.S. cable sports television network (later rebranded as NBC Sports Network) known for broadcasting professional hockey and other major sporting events.
  • C. Versus
    Versus is a 2010 extended play (EP) by American singer Usher that blends pop, R&B, and dance influences and includes the hit single "DJ Got Us Fallin' in Love."
  • D. Versus
    Versus is a competitive multiplayer mode in the Mario Kart series where players race against each other on selected tracks.
  • E. Versus
    Versus is an American indie rock band known for its melodic guitar-driven sound and association with the 1990s indie scene.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a87d9948190986021f1fb5a4e00 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.