Triple

T7044317
Position Surface form Disambiguated ID Type / Status
Subject Matt Dillon E163592 entity
Predicate notableWork P4 FINISHED
Object 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.
 E638771 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: [Matt Dillon, notableWork, Tex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tex
Context triple: [Matt Dillon, notableWork, Tex]
  • A. TEX
    TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
  • B. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • C. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. tet
    tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
  • 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: [Matt Dillon, notableWork, Tex]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tex
Target entity description: 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.
  • A. TEX
    TEX is the standard abbreviation used for the Texas Legends, an NBA G League basketball team based in Frisco, Texas.
  • B. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • C. Tem
    Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
  • D. Ty
    Ty is the first name of American musician and songwriter Ty Segall, known for his prolific work in garage and psychedelic rock.
  • E. tet
    tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
NEDg Description generation batch_69c7893f85588190b1ed983f00ea2532 completed March 28, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_69c78b0fe83481909cad77ce740b81d5 completed March 28, 2026, 8:02 a.m.
Created at: March 27, 2026, 2:37 p.m.