Triple

T11386152
Position Surface form Disambiguated ID Type / Status
Subject Tex Avery E269719 entity
Predicate nickname P55 FINISHED
Object Tex
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.
 E922966 NE FINISHED

How this triple was built (4 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: [Tex Avery, nickname, Tex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tex
Context triple: [Tex Avery, nickname, Tex]
  • A. 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.
  • B. TEX
    TEX is the three-letter IATA airport code for Telluride Regional Airport in Colorado, United States.
  • C. TEX
    TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. Tem
    Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tex
Triple: [Tex Avery, nickname, Tex]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tex
Target entity description: 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.
  • A. 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.
  • B. TEX
    TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
  • C. TEX
    TEX is the three-letter IATA airport code for Telluride Regional Airport in Colorado, United States.
  • D. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • E. Tem
    Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
  • F. None of above. chosen

Provenance (5 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c3c9a7081908002d726ec9e7715 completed April 20, 2026, 2:15 a.m.
NEDg Description generation batch_69e5932d3cb88190807acdcdc3aaa9fc completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a0ab7e081908cb8761c4f82c664 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.