Triple

T28940
Position Surface form Disambiguated ID Type / Status
Subject Peter Bondra E576 entity
Predicate postRetirementRole P268 FINISHED
Object Slovak national team general manager LITERAL 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: Slovak national team general manager | Statement: [Peter Bondra, postRetirementRole, Slovak national team general manager]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postRetirementRole
Context triple: [Peter Bondra, postRetirementRole, Slovak national team general manager]
  • A. retiredNumber
    Indicates that an entity (typically a team or organization) has formally withdrawn a specific number from future use, usually to honor a particular individual or achievement associated with that number.
  • B. after
    Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
  • C. role chosen
    Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
  • D. retiredNumbers
    Indicates that a team has officially retired a specific player’s jersey number, taking it out of regular use in honor of that player.
  • E. namesakeOccupation
    Indicates that one entity’s occupation is the same as, or derived from, the occupation associated with the other entity’s namesake.
  • F. None of above.

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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a2490019948190a89bb0910c60d462 completed Feb. 28, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69a2486d40348190b2d21fc444f499a6 completed Feb. 28, 2026, 1:44 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.