Triple

T18456899
Position Surface form Disambiguated ID Type / Status
Subject Janet Akyüz Mattei E450924 entity
Predicate familyName P18 FINISHED
Object Mattei 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: Mattei | Statement: [Janet Akyüz Mattei, familyName, Mattei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattei
Context triple: [Janet Akyüz Mattei, familyName, Mattei]
  • A. Mattei chosen
    Mattei is an Italian surname historically associated with several prominent families and figures in Italy.
  • B. Emanuele
    Emanuele is an Italian given name, equivalent to Emmanuel, commonly used for males in Italian-speaking regions.
  • C. Motta
    Motta is an Italian surname borne by various notable figures in sports, politics, and the arts.
  • D. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • E. Livio
    Livio is an Italian masculine given name of Latin origin, commonly used in Italy and other Romance-language countries.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264ce5948190b57baa2ea71297a9 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.