Triple

T1366511
Position Surface form Disambiguated ID Type / Status
Subject Paul Pierce E30013 entity
Predicate laterEmployer P14066 FINISHED
Object ESPN E6069 NE FINISHED

How this triple was built (3 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: ESPN | Statement: [Paul Pierce, laterEmployer, ESPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESPN
Context triple: [Paul Pierce, laterEmployer, ESPN]
  • A. ESPN chosen
    ESPN is a major American sports television network known for broadcasting a wide range of live sporting events, sports news, and analysis programs.
  • B. ESPN2
    ESPN2 is an American cable sports television channel owned by ESPN that features a wide range of live sporting events, talk shows, and sports-related programming.
  • C. ESPN.com
    ESPN.com is the sports media giant’s primary website, offering news, scores, analysis, video, and live coverage across a wide range of sports.
  • D. CBS Sports
    CBS Sports is the sports division of the CBS television network, known for broadcasting major American sporting events including NFL games, college football and basketball, and golf tournaments.
  • E. Turner Sports
    Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterEmployer
Context triple: [Paul Pierce, laterEmployer, ESPN]
  • A. formerEmployer
    Indicates that one entity previously employed the other but no longer does so.
  • B. employer
    Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
  • C. laterAffiliation chosen
    Indicates that an entity becomes affiliated with another entity at a later time than a previously mentioned or initial affiliation.
  • D. namedForEmployer
    Indicates that an entity is named after, or in honor of, its employer.
  • E. laterCareer
    Indicates that the associated information or events pertain to a later stage or phase in an entity’s professional life or career trajectory.
  • F. None of above.

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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce725fec819085f6de8e6e368aa4 completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.