Triple

T35066059
Position Surface form Disambiguated ID Type / Status
Subject The Collection E1011732 entity
Predicate producer P490 FINISHED
Object Patrick Rizzotti
Patrick Rizzotti is a film and television producer known for his work on projects such as the movie "The Collection."
E2288411 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: Patrick Rizzotti | Statement: [The Collection, producer, Patrick Rizzotti]
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: Patrick Rizzotti
Triple: [The Collection, producer, Patrick Rizzotti]
Generated description
Patrick Rizzotti is a film and television producer known for his work on projects such as the movie "The Collection."

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_69f76dd193108190af2528186f25b72a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78613f9dc8190b20a15c22090d27f completed May 3, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5a8b7f698c81908d7c3d1109ca5dcb completed July 17, 2026, 8:07 p.m.
NEDg Description generation batch_6a5a8bcfd3248190b180319303ec8469 completed July 17, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_6a5a8c20e9048190944fe51c57b1c8ae completed July 17, 2026, 8:10 p.m.
Created at: May 3, 2026, 4:01 p.m.