Triple

T15309621
Position Surface form Disambiguated ID Type / Status
Subject Texas Earnest Schramm Jr. E365994 entity
Predicate nickname P55 FINISHED
Object Tex E922966 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: Tex | Statement: [Texas Earnest Schramm Jr., nickname, Tex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tex
Context triple: [Texas Earnest Schramm Jr., nickname, Tex]
  • A. Tex chosen
    Tex is the nickname of Tex Avery, the influential American animator and director known for his wild, fast-paced cartoons at Warner Bros. and MGM.
  • B. Tex
    Tex is a 1982 coming-of-age drama film based on S. E. Hinton’s novel, following a teenage boy navigating family struggles and personal growth in rural Oklahoma.
  • C. TEX
    TEX is the three-letter IATA airport code for Telluride Regional Airport in Colorado, United States.
  • D. TEX
    TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
  • E. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.