Triple

T11568389
Position Surface form Disambiguated ID Type / Status
Subject Kathryn Walker E274315 entity
Predicate notableWork P4 FINISHED
Object Slap Shot E289958 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: Slap Shot | Statement: [Kathryn Walker, notableWork, Slap Shot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slap Shot
Context triple: [Kathryn Walker, notableWork, Slap Shot]
  • A. Slap Shot chosen
    Slap Shot is a 1977 sports comedy film about a struggling minor-league hockey team that becomes notorious for its violent, goon-style play.
  • B. Slapshot
    Slapshot is the bald eagle mascot of the NHL’s Washington Capitals, known for entertaining fans at games and team events.
  • C. Slapshot
    Slapshot is the official mascot of the Reading Royals minor league ice hockey team, entertaining fans at games and community events.
  • D. Rowdy
    Rowdy is the costumed bird mascot of the NFL’s Dallas Cowboys, known for entertaining fans at games and team events.
  • E. Wayne's World
    Wayne's World is a popular comedy franchise centered on two rock-obsessed slackers hosting a public-access TV show, best known from its hit 1992 film and recurring sketches.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd4305c8190ac5ff490b6b63e12 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8c9a22c8190812c64b9f305ae99 completed April 21, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:37 p.m.