Triple

T17131890
Position Surface form Disambiguated ID Type / Status
Subject Hank E415738 entity
Predicate refersTo P37 FINISHED
Object Henrik Lundqvist E14789 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: Henrik Lundqvist | Statement: [Hank, refersTo, Henrik Lundqvist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrik Lundqvist
Context triple: [Hank, refersTo, Henrik Lundqvist]
  • A. Henrik Lundqvist chosen
    Henrik Lundqvist is a Swedish former professional ice hockey goaltender widely regarded as one of the best goalies of his era and a franchise icon for the New York Rangers.
  • B. Niklas Backstrom
    Niklas Bäckström is a Finnish former professional ice hockey goaltender best known for his standout NHL career with the Minnesota Wild.
  • C. Thomas Greiss
    Thomas Greiss is a German professional ice hockey goaltender who has played in the NHL for multiple teams, earning recognition as one of the league’s top netminders during his career.
  • D. Pekka Rinne
    Pekka Rinne is a Finnish former professional ice hockey goaltender renowned as one of the NHL’s top netminders of his era and a longtime cornerstone of the Nashville Predators franchise.
  • E. Igor Shesterkin
    Igor Shesterkin is a Russian professional ice hockey goaltender for the New York Rangers, widely regarded as one of the NHL’s elite netminders.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.