Triple

T13802614
Position Surface form Disambiguated ID Type / Status
Subject CLTX E331676 entity
Predicate alsoKnownAs P39 FINISHED
Object Celtics Gaming E65775 NE 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: Celtics Gaming | Statement: [CLTX, alsoKnownAs, Celtics Gaming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celtics Gaming
Context triple: [CLTX, alsoKnownAs, Celtics Gaming]
  • A. Celtics Crossover Gaming chosen
    Celtics Crossover Gaming is the Boston Celtics’ official esports team competing in the NBA 2K League.
  • B. Nets Gaming Crew
    Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
  • C. Celtics
    The Celtics are a sports team representing St. Patrick High School, likely drawing their name and identity from the famous Boston Celtics basketball franchise.
  • D. Boston Celtics
    The Boston Celtics are a storied NBA franchise known for their record number of championships and iconic players like Bill Russell and Larry Bird.
  • E. Maine Celtics
    The Maine Celtics are the NBA G League developmental team for the Boston Celtics, based in Portland, Maine.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.