Triple

T21842375
Position Surface form Disambiguated ID Type / Status
Subject Danny Castellano E539285 entity
Predicate familyName P18 FINISHED
Object Castellano 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: Castellano | Statement: [Danny Castellano, familyName, Castellano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castellano
Context triple: [Danny Castellano, familyName, Castellano]
  • A. Castellano chosen
    Castellano is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and politics.
  • B. Spanish
    Spanish is a Romance language originating from the Iberian Peninsula that is now one of the world’s most widely spoken languages across Europe, the Americas, and beyond.
  • C. Española
    Española is the former Spanish name for the Caribbean island now known as Hispaniola, which is shared by Haiti and the Dominican Republic.
  • D. Hispano
    Hispano refers to the historic Spanish-descended, Spanish-speaking communities of the American Southwest, particularly rooted in New Mexico and southern Colorado, with a distinct culture predating U.S. sovereignty.
  • E. Chavacano
    Chavacano is a Spanish-based creole language spoken in parts of the Philippines, particularly in Zamboanga City and other areas of Mindanao.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ad76d48190a1905cfdbe866323 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.