Triple

T14840768
Position Surface form Disambiguated ID Type / Status
Subject Philadelphia (film) E348955 entity
Predicate character P662 FINISHED
Object Miguel Álvarez 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: Miguel Álvarez | Statement: [Philadelphia (film), character, Miguel Álvarez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Álvarez
Context triple: [Philadelphia (film), character, Miguel Álvarez]
  • 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 García
    Miguel García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
  • 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 Ángel Menéndez
    Miguel Ángel Menéndez is a person notable enough to be recognized as a prominent bearer of the surname Menéndez.
  • E. Miguel Barragán
    Miguel Barragán was a 19th-century Mexican politician and military leader who briefly served as president of Mexico during a period of intense political instability.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28e40f08190b309d8ac6404d2fc completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 1:53 a.m.