Triple

T2120363
Position Surface form Disambiguated ID Type / Status
Subject Duel at Diablo E43905 entity
Predicate character P662 FINISHED
Object Toller
Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
 E235462 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: Toller | Statement: [Duel at Diablo, character, Toller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toller
Context triple: [Duel at Diablo, character, Toller]
  • A. Toleriane
    Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
  • B. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • C. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • D. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • E. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • 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: Toller
Triple: [Duel at Diablo, character, Toller]
Generated description
Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toller
Target entity description: Toller is a supporting character in the 1966 Western film "Duel at Diablo," set against the backdrop of frontier conflict between U.S. cavalry and Apache forces.
  • A. Toleriane
    Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
  • B. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • C. Tiltil
    Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
  • D. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • E. Tore
    Tore is a Scandinavian masculine given name commonly used in Norway and other Nordic countries.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3404348190bc843022fbd2b4d0 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae307c63688190905c6d24743f9117 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae30f9d0448190a0b3251676d9825d completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae316491c88190a9aa5ef47766b1f8 completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:44 p.m.