Triple

T16272114
Position Surface form Disambiguated ID Type / Status
Subject Gilberto Simoni E395026 entity
Predicate familyName P18 FINISHED
Object Simoni E742511 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: Simoni | Statement: [Gilberto Simoni, familyName, Simoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simoni
Context triple: [Gilberto Simoni, familyName, Simoni]
  • A. Simoni chosen
    Simoni is an Italian surname most notably associated with Gigi Simoni, a respected former football player and manager.
  • B. Simonis
    Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
  • C. Simo
    Simo is a Finnish given name most famously borne by Simo Häyhä, a legendary World War II sniper.
  • D. Simanu
    Simanu is a month in the ancient Babylonian calendar, corresponding roughly to late spring or early summer in the modern Gregorian calendar.
  • E. Seimone
    Seimone is a feminine given name most notably associated with WNBA star Seimone Augustus.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460a4f7c8190a614c11f7eaa0a7a completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017bf09888190b3d90db3517a2f1e completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.