Triple

T10944221
Position Surface form Disambiguated ID Type / Status
Subject Jay Hernandez E258552 entity
Predicate name P16 FINISHED
Object Jay Hernandez E258552 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: Jay Hernandez | Statement: [Jay Hernandez, name, Jay Hernandez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Hernandez
Context triple: [Jay Hernandez, name, Jay Hernandez]
  • A. Jay Hernandez chosen
    Jay Hernandez is an American actor known for roles in films like "Hostel" and the TV series "Magnum P.I.," as well as voice work in animated features.
  • B. Greg Reyes
    Greg Reyes is an American businessman best known as the founding CEO of semiconductor company LSI Logic and a prominent figure in the tech industry.
  • C. Juano Hernandez
    Juano Hernandez was a pioneering Afro-Puerto Rican actor known for his powerful performances in mid-20th-century American cinema and for breaking racial barriers in Hollywood.
  • D. Juan Morales
    Juan Morales was a Mexican military commander known for leading forces during the Siege of Veracruz in the Mexican–American War.
  • E. Jaime Garza
    Jaime Garza is a Mexican actor best known for his work in telenovelas and films during the late 20th century.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4418e52f8819096c75e6e866fecef completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:23 p.m.