Triple

T15954255
Position Surface form Disambiguated ID Type / Status
Subject Greg Kwedar E386893 entity
Predicate notableWork P4 FINISHED
Object Transpecos
Transpecos is an independent thriller film that follows three U.S. Border Patrol agents whose routine day unravels into a tense and morally complex crisis in the remote desert.
 E1186595 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: Transpecos | Statement: [Greg Kwedar, notableWork, Transpecos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Transpecos
Context triple: [Greg Kwedar, notableWork, Transpecos]
  • A. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • B. Saldívar
    Saldívar is the surname of Yolanda Saldívar, who is infamously known for murdering Tejano singer Selena Quintanilla-Pérez.
  • C. Torío
    Torío is a river in the province of León in northwestern Spain, known for flowing through the Cantabrian Mountains before joining the Bernesga River near the city of León.
  • D. Empalme
    Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
  • E. Empalme
    Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
  • 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: Transpecos
Triple: [Greg Kwedar, notableWork, Transpecos]
Generated description
Transpecos is an independent thriller film that follows three U.S. Border Patrol agents whose routine day unravels into a tense and morally complex crisis in the remote desert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Transpecos
Target entity description: Transpecos is an independent thriller film that follows three U.S. Border Patrol agents whose routine day unravels into a tense and morally complex crisis in the remote desert.
  • A. Álamos
    Álamos is a residential neighborhood in Mexico City’s Benito Juárez borough, known for its central location and urban character.
  • B. Saldívar
    Saldívar is the surname of Yolanda Saldívar, who is infamously known for murdering Tejano singer Selena Quintanilla-Pérez.
  • C. Torío
    Torío is a river in the province of León in northwestern Spain, known for flowing through the Cantabrian Mountains before joining the Bernesga River near the city of León.
  • D. Empalme
    Empalme is a Madrid Metro station on Line 5 serving the Latina district in Spain’s capital.
  • E. Empalme
    Empalme is a coastal city and municipality in the Mexican state of Sonora, known for its railway heritage and proximity to the Gulf of California.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7ab070819090232efdeecdd5fb completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfdfe58c8190b5964b6f5812ef65 completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.