Triple

T22588272
Position Surface form Disambiguated ID Type / Status
Subject Blackthorn E564860 entity
Predicate editedBy P1954 FINISHED
Object José Salcedo 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: José Salcedo | Statement: [Blackthorn, editedBy, José Salcedo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: José Salcedo
Context triple: [Blackthorn, editedBy, José Salcedo]
  • A. José Salcedo chosen
    José Salcedo was a renowned Spanish film editor best known for his long-standing collaboration with director Pedro Almodóvar on numerous acclaimed films.
  • B. Juan Valeriano Zeballos
    Juan Valeriano Zeballos was a historical figure known for his active role in Paraguay’s struggle to achieve independence from colonial rule.
  • C. Manuel Ochoa
    Manuel Ochoa is a personal name shared by multiple individuals, including figures in fields such as sports, arts, and public life.
  • D. Manuel Barañao
    Manuel Barañao was a Chilean military officer known for commanding patriot forces in the Battle of Cucha Cucha during the Chilean War of Independence.
  • E. Francisco Ramon
    Francisco Ramon, better known as Cisco Ramon, is a brilliant mechanical engineer and metahuman hero from DC Comics’ The Flash, where he operates as the tech expert and superhero Vibe.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615ea5bc8190b7760cd0de9669dd completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:47 p.m.