Triple

T6292597
Position Surface form Disambiguated ID Type / Status
Subject Two-Lane Blacktop E141053 entity
Predicate characterRole P268 FINISHED
Object GTO
GTO is the flashy, talkative driver of a yellow Pontiac GTO who serves as a central, enigmatic foil to the film’s quiet street racers in the 1971 road movie "Two-Lane Blacktop."
 E582089 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: GTO | Statement: [Two-Lane Blacktop, characterRole, GTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GTO
Context triple: [Two-Lane Blacktop, characterRole, GTO]
  • A. JGTO
    JGTO is the organizing body responsible for running and overseeing the professional men's golf tour in Japan.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • D. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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: GTO
Triple: [Two-Lane Blacktop, characterRole, GTO]
Generated description
GTO is the flashy, talkative driver of a yellow Pontiac GTO who serves as a central, enigmatic foil to the film’s quiet street racers in the 1971 road movie "Two-Lane Blacktop."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GTO
Target entity description: GTO is the flashy, talkative driver of a yellow Pontiac GTO who serves as a central, enigmatic foil to the film’s quiet street racers in the 1971 road movie "Two-Lane Blacktop."
  • A. JGTO
    JGTO is the organizing body responsible for running and overseeing the professional men's golf tour in Japan.
  • B. GJT
    GJT is the IATA airport code for Grand Junction Regional Airport, a commercial airport serving Grand Junction and western Colorado.
  • C. GTC
    GTC is a Polish vehicle registration code assigned to a specific county within the Pomeranian Voivodeship.
  • D. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • E. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0642017588190b6c99c685653f6c2 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51983afd081908d2cfeaeccb40bcb completed March 26, 2026, 11:33 a.m.
NEDg Description generation batch_69c51ec56e408190968adb66d97e1e3e completed March 26, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69c51f99ed0c81908c921b3932b59879 completed March 26, 2026, 11:59 a.m.
Created at: March 22, 2026, 4:27 p.m.