Triple

T18570710
Position Surface form Disambiguated ID Type / Status
Subject Aravinda de Silva E453865 entity
Predicate familyName P18 FINISHED
Object de 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: de Silva | Statement: [Aravinda de Silva, familyName, de Silva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Silva
Context triple: [Aravinda de Silva, familyName, de Silva]
  • A. de Silva chosen
    de Silva is a Spanish noble family name historically associated with prominent aristocratic lineages such as the Dukes of Alba.
  • B. De Silva
    De Silva is a key teenage character in the horror film "Child's Play 3," serving as a friend and ally to protagonist Andy Barclay during his confrontation with the killer doll Chucky.
  • C. da Silva
    da Silva is a common Portuguese-language surname widely used in Brazil and other Lusophone countries.
  • D. 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.
  • E. Dan Silva
    Dan Silva is a software developer best known for creating the influential bitmap graphics editor Deluxe Paint, widely used in the late 1980s and early 1990s for computer art and game graphics.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53b01331c8190bec3aba40358a843 completed April 19, 2026, 8:28 p.m.
Created at: April 10, 2026, 11:43 a.m.