Triple

T4716812
Position Surface form Disambiguated ID Type / Status
Subject John Mara E104661 entity
Predicate teamOwnershipRole P59138 FINISHED
Object co-owner 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: co-owner | Statement: [John Mara, teamOwnershipRole, co-owner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: teamOwnershipRole
Context triple: [John Mara, teamOwnershipRole, co-owner]
  • A. teamOwnershipModel
    Indicates the type or structure of ownership relationship that exists between a team and its owning entity (such as an individual, group, or organization).
  • B. teamOwner
    Indicates that one entity holds ownership or controlling stake over a team.
  • C. memberOfSportsTeamOwnershipGroup
    Indicates that an entity is part of the ownership group that owns or controls a sports team.
  • D. leagueAffiliationThroughOwnedTeam
    Indicates that an entity is affiliated with a league by virtue of owning a team that participates in that league.
  • E. governingBodyOfOwnedTeam
    Indicates that one entity serves as the governing or managing body responsible for overseeing and controlling the operations of a team that it owns.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
PDg Predicate description generation batch_69bd680b06e881908de87edf815f3cc0 completed March 20, 2026, 3:30 p.m.
Created at: March 20, 2026, 1:18 p.m.