Triple

T9867710
Position Surface form Disambiguated ID Type / Status
Subject Mike Sirianni E239875 entity
Predicate familyName P18 FINISHED
Object Sirianni E208883 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: Sirianni | Statement: [Mike Sirianni, familyName, Sirianni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirianni
Context triple: [Mike Sirianni, familyName, Sirianni]
  • A. Sirianni chosen
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • B. Siguiri
    Siguiri is a town in northeastern Guinea known as a center of gold mining along the Niger River.
  • C. Sintiki
    Sintiki is a municipality in the Serres regional unit of Central Macedonia, Greece, known for its rural communities and proximity to the Bulgarian border.
  • D. Seia
    Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
  • E. Sius
    Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
  • 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_69ca84e7506c819095cbde4ff16512bb completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3d209ac8190b9bc9ff017a132da completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e45add0481909a0416035054a563 completed April 5, 2026, 4:26 a.m.
Created at: March 30, 2026, 8:36 p.m.