Triple

T3154889
Position Surface form Disambiguated ID Type / Status
Subject Franco Nero E65960 entity
Predicate notableWork P4 FINISHED
Object Keoma
Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
 E331531 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: Keoma | Statement: [Franco Nero, notableWork, Keoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Keoma
Context triple: [Franco Nero, notableWork, Keoma]
  • A. Chaguanas
    Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
  • B. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • C. Yawuru
    Yawuru is an Aboriginal Australian people and their language traditionally associated with the Broome region of Western Australia.
  • D. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • E. Comondú
    Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
  • 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: Keoma
Triple: [Franco Nero, notableWork, Keoma]
Generated description
Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Keoma
Target entity description: Keoma is a 1976 Italian spaghetti Western film directed by Enzo G. Castellari, widely regarded as one of Franco Nero’s most iconic and atmospheric roles.
  • A. Chaguanas
    Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
  • B. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • C. Yawuru
    Yawuru is an Aboriginal Australian people and their language traditionally associated with the Broome region of Western Australia.
  • D. Pasochoa
    Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
  • E. Comondú
    Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e7f4688190b477186254f8a572 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b22503ba208190814ab2bfbe380c42 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225ee67c48190879edf50981641ab completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b22659f79c81908f33769dff3cc57d completed March 12, 2026, 2:35 a.m.
Created at: March 8, 2026, 3:05 p.m.