Triple

T3155019
Position Surface form Disambiguated ID Type / Status
Subject Nestor Carbonell E65963 entity
Predicate familyName P18 FINISHED
Object Carbonell
Carbonell is a Spanish-origin surname borne by various notable individuals in fields such as acting, sports, and politics.
 E331552 NE FINISHED

How this triple was built (4 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: Carbonell | Statement: [Nestor Carbonell, familyName, Carbonell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carbonell
Context triple: [Nestor Carbonell, familyName, Carbonell]
  • A. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • B. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • C. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • D. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carbonell
Triple: [Nestor Carbonell, familyName, Carbonell]
Generated description
Carbonell is a Spanish-origin surname borne by various notable individuals in fields such as acting, sports, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carbonell
Target entity description: Carbonell is a Spanish-origin surname borne by various notable individuals in fields such as acting, sports, and politics.
  • A. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • B. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • C. Carballal
    Carballal is a Spanish surname, likely of Galician origin, that serves as a variant of the more common surname Carvajal.
  • D. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • E. Montalva
    Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
  • F. None of above. chosen

Provenance (5 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e7f4688190b477186254f8a572 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b22503ba208190814ab2bfbe380c42 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225ee67c48190879edf50981641ab completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b22659f79c81908f33769dff3cc57d completed March 12, 2026, 2:35 a.m.
Created at: March 8, 2026, 3:05 p.m.