Triple

T23127908
Position Surface form Disambiguated ID Type / Status
Subject de Silva E577084 entity
Predicate hasVariant P455 FINISHED
Object Silva NE NERFINISHED

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: Silva | Statement: [de Silva, hasVariant, Silva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silva
Context triple: [de Silva, hasVariant, Silva]
  • A. Silva chosen
    Silva is a common Portuguese-language surname borne by many notable individuals across sports, politics, arts, and other fields worldwide.
  • B. Silva Vacarro
    Silva Vacarro is a central character in Tennessee Williams' play "Baby Doll," depicted as a shrewd, seductive Sicilian businessman who becomes entangled in a tense psychological and sexual power struggle.
  • C. Sylvio
    Sylvio is a masculine given name, often used in Romance-language countries and associated with the variant "Silvio."
  • D. Jackson Silva
    Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
  • E. Bigfoot Silva
    Bigfoot Silva is Antônio "Bigfoot" Silva, a Brazilian mixed martial artist and heavyweight veteran known for his fights in major promotions like the UFC and Strikeforce.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.