Triple

T30230713
Position Surface form Disambiguated ID Type / Status
Subject Baltimore Stars E768617 entity
Predicate offensiveLeader P169005 FINISHED
Object Kelvin Bryant 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: Kelvin Bryant | Statement: [Baltimore Stars, offensiveLeader, Kelvin Bryant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offensiveLeader
Context triple: [Baltimore Stars, offensiveLeader, Kelvin Bryant]
  • A. offensiveTackle
    Indicates that an entity plays the offensive tackle position, responsible for blocking and protecting on the offensive line in a gridiron football context.
  • B. offensiveCoordinator
    Indicates that one entity serves as the offensive coordinator (the coach responsible for directing the offensive unit) for another entity, typically a sports team.
  • C. offensiveSchemeRunnerUp
    Indicates that an offensive scheme finished in second place or was the runner-up in a particular ranking, contest, or evaluation.
  • D. offensiveLineCoach
    Indicates that one entity serves as the offensive line coach for another entity, typically a sports team.
  • E. offensiveCoach
    Indicates that one entity serves as the offensive coach (responsible for directing the offense) for another entity, typically a sports team or player.
  • 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_69f2248108208190be60bf1af343ce70 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68025551081908f282e9ae3efebe7 completed May 2, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676c35f3481909b9ba18a5662d6ce completed May 2, 2026, 10:12 p.m.
Created at: April 29, 2026, 7:36 p.m.