Triple

T15744526
Position Surface form Disambiguated ID Type / Status
Subject Cristiane E381687 entity
Predicate familyName P18 FINISHED
Object Silva E865824 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: Silva | Statement: [Cristiane, familyName, Silva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silva
Context triple: [Cristiane, familyName, 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. 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.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502c0c3c8190b8e512df307039c1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8307824881909ba85e4c3da65d28 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.