Triple

T31212948
Position Surface form Disambiguated ID Type / Status
Subject The Grand Duel E795797 entity
Predicate productionCompany P490 FINISHED
Object Clodio Cinematografica
Clodio Cinematografica is an Italian film production company known for its work on genre cinema, including Spaghetti Westerns such as "The Grand Duel."
E1952535 NE FINISHED

How this triple was built (2 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: Clodio Cinematografica | Statement: [The Grand Duel, productionCompany, Clodio Cinematografica]
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: Clodio Cinematografica
Triple: [The Grand Duel, productionCompany, Clodio Cinematografica]
Generated description
Clodio Cinematografica is an Italian film production company known for its work on genre cinema, including Spaghetti Westerns such as "The Grand Duel."

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_69f224d9d52c8190a61f68ded37fa755 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c28a0e4819099600420cd0da971 completed May 3, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29592902088190a56c28d064102367 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959d4ecac8190a55af600fc9cc74a completed June 10, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a295cb4623c8190b7d5cf9a072627f7 completed June 10, 2026, 12:46 p.m.
Created at: April 29, 2026, 9:09 p.m.