Triple

T1583270
Position Surface form Disambiguated ID Type / Status
Subject Mingus Lucien Reedus E34014 entity
Predicate middleName P143 FINISHED
Object Lucien E121212 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: Lucien | Statement: [Mingus Lucien Reedus, middleName, Lucien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucien
Context triple: [Mingus Lucien Reedus, middleName, Lucien]
  • A. Lucien chosen
    Lucien is a masculine given name of Latin origin, historically associated with figures such as Lucien Bonaparte, the brother of Napoleon Bonaparte.
  • B. Donatien
    Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
  • C. Laurent
    Laurent is a Belgian prince, the younger son of King Albert II and Queen Paola, known for his environmental interests and occasional public controversies.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Maxence
    Maxence is a given name of French origin, used as a variant of the name Max.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f0e72c8190bb7a2a0c77379060 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac0be308190a12ba8e79589dead completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:27 p.m.