Triple

T11815609
Position Surface form Disambiguated ID Type / Status
Subject Bloods E280991 entity
Predicate identityEmphasis P101268 FINISHED
Object team-first attitude 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: team-first attitude | Statement: [Bloods, identityEmphasis, team-first attitude]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: identityEmphasis
Context triple: [Bloods, identityEmphasis, team-first attitude]
  • A. nicknameEmphasizes
    Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
  • B. identityFeatures chosen
    Indicates that certain characteristics or attributes are used to define, distinguish, or uniquely identify an entity.
  • C. subjectIdentity
    Indicates that two or more references correspond to the same underlying entity or individual identity.
  • D. identityRevealedIn
    Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
  • E. identityCategory
    Indicates that an entity belongs to, or is classified under, a particular identity-based category or group.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69d8a24e9a088190aff7932d1ff93dbf completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:42 p.m.