Triple

T18875701
Position Surface form Disambiguated ID Type / Status
Subject Serenno E461677 entity
Predicate governedBy P46 FINISHED
Object Count of Serenno 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: Count of Serenno | Statement: [Serenno, governedBy, Count of Serenno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Serenno
Context triple: [Serenno, governedBy, Count of Serenno]
  • A. Count of Serenno chosen
    Count of Serenno is the noble title held by Count Dooku, a former Jedi Master who became the Sith Lord Darth Tyranus in the Star Wars universe.
  • B. Lord of Aldeanueva
    Lord of Aldeanueva was a noble title in late medieval Castile held by Álvaro de Zúñiga y Guzmán, a powerful aristocrat and royal counselor.
  • C. Count of Luchana
    Count of Luchana is a Spanish noble title historically associated with military distinction earned during the First Carlist War.
  • D. Lord of Senigallia
    Lord of Senigallia was a feudal title in the Italian town of Senigallia, historically associated with the powerful noble House of della Rovere during the Renaissance.
  • E. Lord of Noreña
    Lord of Noreña was a noble title in medieval Asturias associated with the Trastámara dynasty and the regional power base of Henry II of Castile and his descendants.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.