Triple

T7462613
Position Surface form Disambiguated ID Type / Status
Subject Modo Hockey E176287 entity
Predicate notableAlumnus P304 FINISHED
Object Victor Hedman E80026 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: Victor Hedman | Statement: [Modo Hockey, notableAlumnus, Victor Hedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Hedman
Context triple: [Modo Hockey, notableAlumnus, Victor Hedman]
  • A. Victor Hedman chosen
    Victor Hedman is a Swedish professional ice hockey defenseman widely regarded as one of the NHL’s elite blueliners and a cornerstone of the Tampa Bay Lightning’s success.
  • B. Erik Karlsson
    Erik Karlsson is a Swedish professional ice hockey defenseman renowned for his elite offensive skills, multiple Norris Trophies, and status as one of the premier blueliners of his generation.
  • C. Anthony Gudas
    Anthony Gudas is a film producer known for his work on the movie "Gully."
  • D. Aleksander Barkov
    Aleksander Barkov is a Finnish professional ice hockey center and star player in the NHL known for his elite two-way play and leadership with the Florida Panthers.
  • E. Marcel Hossa
    Marcel Hossa is a Slovak former professional ice hockey forward who played in the NHL and various European leagues.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d80ae08190ba383066cf0cb2ce completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83464fc48819086f206f4d6b840ab completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:39 p.m.