Triple

T15231962
Position Surface form Disambiguated ID Type / Status
Subject Marchesa E364024 entity
Predicate etymologyRelatedTo P453 FINISHED
Object Marchese E1144405 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: Marchese | Statement: [Marchesa, etymologyRelatedTo, Marchese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marchese
Context triple: [Marchesa, etymologyRelatedTo, Marchese]
  • A. Marchese chosen
    Marchese is an Italian noble title equivalent to the English rank of marquess, traditionally granted to aristocrats of high social status.
  • B. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • C. Baratieri
    Baratieri is an Italian surname most notably associated with Oreste Baratieri, a 19th-century Italian general and colonial governor in East Africa.
  • D. Marcetelli
    Marcetelli is a small Italian municipality in the Lazio region, known for its rural character and location within the mountainous area of central Italy.
  • E. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078e27408190bc13c0ca441f5594 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5edca5c8190827788324a9e886d completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:12 a.m.