Triple

T16570215
Position Surface form Disambiguated ID Type / Status
Subject Fernando Santos E402564 entity
Predicate familyName P18 FINISHED
Object Santos E114679 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: Santos | Statement: [Fernando Santos, familyName, Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santos
Context triple: [Fernando Santos, familyName, Santos]
  • A. Santos
    Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
  • B. Santos chosen
    Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
  • C. Santos
    Santos is a major Australian oil and gas exploration and production company with significant operations across Australia and the Asia-Pacific region.
  • D. Vasco
    Vasco is the internal codename for Nokia's N8 smartphone, a flagship Symbian device known for its advanced camera and multimedia capabilities.
  • E. Vasco
    Vasco is a masculine given name of Portuguese and Spanish origin, historically associated with explorers and notable figures from the Iberian Peninsula.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359580f548190a21afd148bc22d8d completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee616a0819089b3cdc1da951735 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.