Triple

T15115111
Position Surface form Disambiguated ID Type / Status
Subject Agenore Incrocci E361015 entity
Predicate memberOf P10 FINISHED
Object Age & Scarpelli E1129980 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: Age & Scarpelli | Statement: [Agenore Incrocci, memberOf, Age & Scarpelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Age & Scarpelli
Context triple: [Agenore Incrocci, memberOf, Age & Scarpelli]
  • A. Scarpelli chosen
    Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
  • B. Spinelli
    Spinelli is an Italian surname most notably associated with Altiero Spinelli, a key architect of European integration and federalism.
  • C. Paoletti
    Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
  • D. Stef Scamardo
    Stef Scamardo is a music industry professional and manager best known for her long-term partnership, both personal and professional, with guitarist and singer Warren Haynes.
  • E. Jessica Scarcella-Spanton
    Jessica Scarcella-Spanton is a New York State senator and Democratic politician representing parts of Staten Island and Brooklyn.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:05 a.m.