Triple

T6856069
Position Surface form Disambiguated ID Type / Status
Subject Silver and Black E158146 entity
Predicate associatedWithTeamIdentity P74143 FINISHED
Object hard-nosed playing style 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: hard-nosed playing style | Statement: [Silver and Black, associatedWithTeamIdentity, hard-nosed playing style]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithTeamIdentity
Context triple: [Silver and Black, associatedWithTeamIdentity, hard-nosed playing style]
  • A. associatedTeam
    Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
  • B. associatedTeamPrincipal
    Indicates that there is a relationship in which a specific team principal is linked or connected to a particular team.
  • C. associatedWithTeamSport
    Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
  • D. associatedSeniorTeam
    Indicates a relationship where a senior-level team is linked or connected to a given entity as its corresponding or responsible team.
  • E. associatedWithDraftTeam
    Indicates that an entity has a relationship with a sports team specifically in the context of a draft, such as being selected by or linked to that team during a drafting process.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6da3ce95081909a424ac04bc7fa07 completed March 27, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69c6d7b168908190b2f7c724b1bc7fc9 completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6da3b5510819093c5893ea92ac025 completed March 27, 2026, 7:27 p.m.
Created at: March 27, 2026, 2:20 p.m.