Triple

T24518254
Position Surface form Disambiguated ID Type / Status
Subject Mario Monicelli E606440 entity
Predicate notableWork P4 FINISHED
Object The Marquis of Grillo
The Marquis of Grillo is a 1981 Italian historical comedy film directed by Mario Monicelli, celebrated for its satirical portrayal of aristocratic life in early 19th-century Rome.
E1638176 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: The Marquis of Grillo | Statement: [Mario Monicelli, notableWork, The Marquis of Grillo]
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: The Marquis of Grillo
Triple: [Mario Monicelli, notableWork, The Marquis of Grillo]
Generated description
The Marquis of Grillo is a 1981 Italian historical comedy film directed by Mario Monicelli, celebrated for its satirical portrayal of aristocratic life in early 19th-century Rome.

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_69e2c4c85778819085f5da9af3569ad5 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a86fdd848190a0f24d30fbaae558 completed April 30, 2026, 12:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fee93682881908d2e820e27e33e94 completed May 22, 2026, 5:50 a.m.
NEDg Description generation batch_6a0fef865e8c81909c338c647f756c65 completed May 22, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0ff097dd8881908bb83d84a6581ef7 completed May 22, 2026, 5:58 a.m.
Created at: April 18, 2026, 2:24 a.m.