Triple

T17466931
Position Surface form Disambiguated ID Type / Status
Subject Miguel Ángel E425300 entity
Predicate hasComponent P35 FINISHED
Object Ángel 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: Ángel | Statement: [Miguel Ángel, hasComponent, Ángel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ángel
Context triple: [Miguel Ángel, hasComponent, Ángel]
  • A. Ángel chosen
    Ángel is a given name of Spanish origin commonly used for males and derived from the word for “angel.”
  • B. Arcángel
    Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
  • C. Ángel Rojo
    Ángel Rojo is a Spanish former professional footballer known for his career as a forward in La Liga during the 1970s and 1980s.
  • D. Anjel
    Anjel was an R&B girl group formed by former Destiny’s Child member LaTavia Roberson after her departure from the chart-topping group.
  • E. El Ángel
    El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a8f4908190a67a3a82a1c8f011 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.