Triple

T9582981
Position Surface form Disambiguated ID Type / Status
Subject Tomasz E231217 entity
Predicate relatedName P3889 FINISHED
Object Tomaso E456764 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: Tomaso | Statement: [Tomasz, relatedName, Tomaso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tomaso
Context triple: [Tomasz, relatedName, Tomaso]
  • A. Tommaso chosen
    Tommaso is the given name of Thomas Francis, Prince of Carignano, a 17th-century Italian nobleman of the House of Savoy.
  • B. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • C. Camillo
    Camillo was the birth name of Pope Paul V, the 17th-century head of the Catholic Church and ruler of the Papal States.
  • D. Camillo
    Camillo is a loyal Sicilian courtier whose moral integrity and pivotal decisions drive key turns in the plot of the opera "The Winter’s Tale," adapted from Shakespeare’s play.
  • E. Gaetano
    Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
  • 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_69ca848161688190a68d514a0a9d5129 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99cebaf081908033536a53fbf668 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190dd38e48190aef80bb7a153bff6 completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:05 p.m.