Triple

T32463125
Position Surface form Disambiguated ID Type / Status
Subject Jorginho E829629 entity
Predicate coachAtClub P131033 FINISHED
Object Maurizio Sarri NE NERFINISHED

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: Maurizio Sarri | Statement: [Jorginho, coachAtClub, Maurizio Sarri]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coachAtClub
Context triple: [Jorginho, coachAtClub, Maurizio Sarri]
  • A. coachOf
    Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
  • B. coachAffiliation chosen
    Indicates that a coach is formally associated with, employed by, or represents a particular team, organization, or institution.
  • C. playerCoachTeam
    Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
  • D. coachedAtClubWithPlayer
    Indicates that a coach worked at a club during a period when a particular player was also at that same club.
  • E. coachRelationship
    Indicates a relationship in which one entity serves as a coach, providing guidance, training, or mentorship to another entity.
  • 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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d26f27dc8190ae426a3e1573933e completed May 3, 2026, 4:43 a.m.
Created at: May 1, 2026, 12:57 a.m.