Triple

T13932830
Position Surface form Disambiguated ID Type / Status
Subject Oz (TV series) E335034 entity
Predicate mainCharacter P1183 FINISHED
Object Miguel Alvarez E501389 NE FINISHED

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: Miguel Alvarez | Statement: [Oz (TV series), mainCharacter, Miguel Alvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Alvarez
Context triple: [Oz (TV series), mainCharacter, Miguel Alvarez]
  • A. Miguel Alvarez chosen
    Miguel Alvarez is a troubled yet resilient Latino inmate in the HBO prison drama "Oz," known for his complex personal struggles and evolving moral journey behind bars.
  • B. Miguel Inclán
    Miguel Inclán was a prominent Mexican character actor known for his memorable supporting roles in classic Mexican cinema of the 1940s and 1950s.
  • C. Miguel Leon
    Miguel Leon is the central protagonist of the film "The Last Face," a humanitarian doctor navigating love and moral conflict amid the chaos of war-torn Africa.
  • D. Miguel García
    Miguel García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • E. Miguel Ángel Menéndez
    Miguel Ángel Menéndez is a person notable enough to be recognized as a prominent bearer of the surname Menéndez.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5c72008190a3c4df20480850c9 completed May 9, 2026, 11:28 a.m.
Created at: April 9, 2026, 10:17 p.m.