Triple

T19225269
Position Surface form Disambiguated ID Type / Status
Subject Longhorn Band E480721 entity
Predicate performs P2297 FINISHED
Object The Eyes of Texas 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: The Eyes of Texas | Statement: [Longhorn Band, performs, The Eyes of Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Eyes of Texas
Context triple: [Longhorn Band, performs, The Eyes of Texas]
  • A. The Eyes of Texas chosen
    "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.
  • B. Trouble in Texas
    Trouble in Texas is a 1937 American Western film featuring singing cowboy Tex Ritter in one of his early starring roles.
  • C. The Texan
    "The Texan" is a 1950s American Western film featuring actress Mara Corday in one of her notable screen roles.
  • D. The Texan
    The Texan is a late-1950s American Western television series starring Rory Calhoun as a wandering gunfighter in post-Civil War Texas.
  • E. Deep in the Heart of Texas
    Deep in the Heart of Texas is a stand-up comedy special by Dave Chappelle, filmed in Austin and released on Netflix.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa97287c8190b85184a512a9c960 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:24 p.m.