Triple

T16985471
Position Surface form Disambiguated ID Type / Status
Subject Andrea Kremer E412052 entity
Predicate employer P7 FINISHED
Object HBO Sports E98980 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: HBO Sports | Statement: [Andrea Kremer, employer, HBO Sports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HBO Sports
Context triple: [Andrea Kremer, employer, HBO Sports]
  • A. HBO Sports chosen
    HBO Sports is a division of the premium cable network HBO known for producing high-profile sports documentaries, boxing events, and investigative sports journalism.
  • B. Turner Sports
    Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
  • C. Showtime Sports
    Showtime Sports is the sports division of the Showtime television network, best known for producing and broadcasting major boxing and combat sports events.
  • D. CBS Sports Network
    CBS Sports Network is an American cable sports channel owned by Paramount Global that broadcasts a wide range of collegiate and professional sports programming.
  • E. CBS Sports
    CBS Sports is the sports division of the CBS television network, known for broadcasting major American sporting events including NFL games, college football and basketball, and golf tournaments.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18af95c8190a25ef0614e1a17f3 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.