Triple

T4681854
Position Surface form Disambiguated ID Type / Status
Subject Count of Saint-Leu E103820 entity
Predicate notableHolderRelation P367 FINISHED
Object younger brother of Napoleon Bonaparte LITERAL 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: younger brother of Napoleon Bonaparte | Statement: [Count of Saint-Leu, notableHolderRelation, younger brother of Napoleon Bonaparte]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableHolderRelation
Context triple: [Count of Saint-Leu, notableHolderRelation, younger brother of Napoleon Bonaparte]
  • A. notableHolder
    Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
  • B. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • C. notableRelative chosen
    Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
  • D. notableHolderFamily
    Indicates that a particular family is notably associated with holding, possessing, or being custodians of the referenced entity.
  • E. notableRelatedList
    Indicates that there exists a curated or recognized list that is notably related to the subject, typically grouping it with similar or thematically connected entities.
  • F. None of above.

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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd67c9c3c08190a6c4944cdd1362a8 completed March 20, 2026, 3:29 p.m.
PD Predicate disambiguation batch_69bd6217e0088190836570522e324dc6 completed March 20, 2026, 3:04 p.m.
Created at: March 20, 2026, 1:16 p.m.