Triple

T19322164
Position Surface form Disambiguated ID Type / Status
Subject Joe Jamail E483251 entity
Predicate memberOf P10 FINISHED
Object Texas Bar 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: Texas Bar | Statement: [Joe Jamail, memberOf, Texas Bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texas Bar
Context triple: [Joe Jamail, memberOf, Texas Bar]
  • A. Texas Bar chosen
    Texas Bar is the professional licensing and regulatory organization for attorneys practicing law in the state of Texas.
  • B. Texas Man
    "Texas Man" is a song by the American country duo Gaslighter, blending modern country-pop elements with themes of love and regional identity.
  • C. The Eyes of Texas
    "The Eyes of Texas" is a traditional anthem closely associated with the University of Texas at Austin, widely recognized as a central part of Longhorns sports and school spirit.
  • D. Texas Rising
    Texas Rising is a historical drama miniseries that chronicles the Texas Revolution and the rise of the Texas Rangers in the 1830s.
  • E. Trouble in Texas
    Trouble in Texas is a 1937 American Western film featuring singing cowboy Tex Ritter in one of his early starring roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8948948190b76a384041333509 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.