Triple

T5087827
Position Surface form Disambiguated ID Type / Status
Subject Santos E114679 entity
Predicate hasNotableBearer P458 FINISHED
Object Fernando Santos E402564 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: Fernando Santos | Statement: [Santos, hasNotableBearer, Fernando Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Santos
Context triple: [Santos, hasNotableBearer, Fernando Santos]
  • A. Fernando Santos chosen
    Fernando Santos is a Portuguese football manager best known for leading Portugal to their first major international title at UEFA Euro 2016.
  • B. Nuno Gonçalves
    Nuno Gonçalves was a 15th-century Portuguese painter best known for the "Saint Vincent Panels," a masterpiece of early Portuguese art.
  • C. Jorge Soares
    Jorge Soares is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Soares.
  • D. Luís Mourinha
    Luís Mourinha is a Portuguese politician who has served as the mayor of the municipality of Estremoz in the Alentejo region of Portugal.
  • E. Jorge Jesus
    Jorge Jesus is a Portuguese football manager renowned for his tactical acumen and successful spells at top clubs such as Benfica, Flamengo, and Sporting CP.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75219a94819094fc54c1df448470 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb144a6108190a20bb6d9dc6bf676 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.