Triple

T19914772
Position Surface form Disambiguated ID Type / Status
Subject Mikel Adams E478636 entity
Predicate hasGivenNameVariant P457 FINISHED
Object Mikel 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: Mikel | Statement: [Mikel Adams, hasGivenNameVariant, Mikel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikel
Context triple: [Mikel Adams, hasGivenNameVariant, Mikel]
  • A. Mikel chosen
    Mikel is a given name, commonly a variant of Michael used in various cultures, particularly in Basque and Spanish-speaking regions.
  • B. Mikel Lejarza
    Mikel Lejarza is a Spanish film and television producer known for his work on numerous popular Spanish-language productions.
  • C. Iker
    Iker is a masculine given name of Basque origin, notably borne by the Spanish football legend Iker Casillas.
  • D. Arteta
    Arteta is a Spanish former professional footballer and current football manager best known for managing Arsenal in the English Premier League.
  • E. Kike
    Kike is a common Spanish nickname for the given name Enrique.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6599394f081909246006c2e83bacc completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:53 p.m.