Triple

T13838534
Position Surface form Disambiguated ID Type / Status
Subject Peter Schmeichel E332590 entity
Predicate KasperSchmeichelOccupation P111711 FINISHED
Object professional football goalkeeper 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: professional football goalkeeper | Statement: [Peter Schmeichel, KasperSchmeichelOccupation, professional football goalkeeper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: KasperSchmeichelOccupation
Context triple: [Peter Schmeichel, KasperSchmeichelOccupation, professional football goalkeeper]
  • A. sportingDirector
    Indicates that one entity serves as the sporting director (overseeing sports-related operations and strategy) for another entity, typically a sports club or organization.
  • B. ChelseaManager
    Indicates that a person holds or has held the position of manager (head coach) of Chelsea Football Club.
  • C. BayernMunichCaptain
    Indicates that the subject serves as the team captain of Bayern Munich.
  • D. roleInFootballHistory
    Indicates the specific part or significance an entity has within the historical development, events, or legacy of football.
  • E. roleInManchesterCity
    Indicates that an entity holds or has held a specific role or position within Manchester City Football Club.
  • F. None of above. chosen

Provenance (4 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
PD Predicate disambiguation batch_69dbc86668e08190ba9135d1c3f38d35 completed April 12, 2026, 4:29 p.m.
PDg Predicate description generation batch_69dcad0eea9881908f71e1eed9a2446b completed April 13, 2026, 8:45 a.m.
Created at: April 9, 2026, 10:13 p.m.