Triple

T15611622
Position Surface form Disambiguated ID Type / Status
Subject Salvatore Zola E375307 entity
Predicate name P16 FINISHED
Object Salvatore Zola E375307 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: Salvatore Zola | Statement: [Salvatore Zola, name, Salvatore Zola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salvatore Zola
Context triple: [Salvatore Zola, name, Salvatore Zola]
  • A. Salvatore Zola chosen
    Salvatore Zola is a person notable enough to be recognized as a bearer of the surname Zola, though specific widely known achievements or roles are not well documented.
  • B. Pasqualino De Santis
    Pasqualino De Santis was an acclaimed Italian cinematographer known for his visually rich work on numerous European art films and collaborations with prominent directors such as Luchino Visconti and Federico Fellini.
  • C. Enrico Zuccalli
    Enrico Zuccalli was a prominent 17th-century Swiss-Italian Baroque architect active in Bavaria, known for shaping Munich’s court architecture.
  • D. Vincenzo Cerami
    Vincenzo Cerami was an Italian screenwriter and novelist best known for co-writing the acclaimed film "Life Is Beautiful."
  • E. Enrico Colantoni
    Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8148a0819087d6d69cc84487ca completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d76c108190aa3cae2d7e17c301 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.