Triple

T23305378
Position Surface form Disambiguated ID Type / Status
Subject Cristian Castro E590421 entity
Predicate name P16 FINISHED
Object Cristian Castro 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: Cristian Castro | Statement: [Cristian Castro, name, Cristian Castro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cristian Castro
Context triple: [Cristian Castro, name, Cristian Castro]
  • A. Cristian Castro chosen
    Cristian Castro is a Mexican pop singer known for his powerful vocals and numerous Latin American hits since the early 1990s.
  • B. Carlos Sanz
    Carlos Sanz is a Spanish-American character actor known for his supporting roles in action and crime films and television series.
  • C. Alejandro Fernández
    Alejandro Fernández is a renowned Mexican singer celebrated for his powerful vocals and successful career spanning traditional ranchera and Latin pop music.
  • D. Jose Montaner
    Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
  • E. Alejandro Sanz
    Alejandro Sanz is a Spanish singer-songwriter and musician renowned for his romantic ballads and multiple Grammy and Latin Grammy Awards.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:05 p.m.