Triple

T1943458
Position Surface form Disambiguated ID Type / Status
Subject Timo E42006 entity
Predicate hasRelatedName P3889 FINISHED
Object Timoteo E226289 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: Timoteo | Statement: [Timo, hasRelatedName, Timoteo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timoteo
Context triple: [Timo, hasRelatedName, Timoteo]
  • A. Timoteo chosen
    Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
  • B. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • C. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • E. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb2fe04688190aa8461ba090c93a0 completed March 7, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5173b2188190bfb492c73a1bba06 completed March 9, 2026, 4:49 a.m.
Created at: March 4, 2026, 7:36 p.m.