Triple

T36565977
Position Surface form Disambiguated ID Type / Status
Subject Victor Spinetti E901978 entity
Predicate birthName P65 FINISHED
Object Vittorio Giorgio Andre Spinetti
Vittorio Giorgio Andre Spinetti, better known as Victor Spinetti, was a Welsh actor and comedian renowned for his roles in the Beatles’ films and his extensive work on stage and screen.
E2193921 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: Vittorio Giorgio Andre Spinetti | Statement: [Victor Spinetti, birthName, Vittorio Giorgio Andre Spinetti]
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: Vittorio Giorgio Andre Spinetti
Triple: [Victor Spinetti, birthName, Vittorio Giorgio Andre Spinetti]
Generated description
Vittorio Giorgio Andre Spinetti, better known as Victor Spinetti, was a Welsh actor and comedian renowned for his roles in the Beatles’ films and his extensive work on stage and screen.

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_69f76e6416708190a9754b8c52d4e453 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c27f9b648190ade8219d1de4249d completed May 3, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20b713188190aa8374ca834f55ba completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a217c87808190b80f22ab2bc51475 completed June 23, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_6a3a2219688881908f62dd0a5e70eced completed June 23, 2026, 6:05 a.m.
Created at: May 3, 2026, 4:11 p.m.