Triple

T19126547
Position Surface form Disambiguated ID Type / Status
Subject CCB E468196 entity
Predicate architect P184 FINISHED
Object Manuel Salgado 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: Manuel Salgado | Statement: [CCB, architect, Manuel Salgado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manuel Salgado
Context triple: [CCB, architect, Manuel Salgado]
  • A. Manuel Salgado chosen
    Manuel Salgado is a Portuguese architect best known for his influential public and cultural building designs, including major projects in Lisbon.
  • B. Manuel Medina
    Manuel Medina is a Mexican former professional boxer and multiple-time featherweight world champion known for his technical skill and durability in the ring.
  • C. Manuel Varela
    Manuel Varela is a personal name shared by multiple individuals, and without additional context it most commonly refers to people of Hispanic origin in fields such as sports, academia, or public service.
  • D. Francisco Leal
    Francisco Leal is a young idealistic Chilean journalist who becomes involved in political resistance and a passionate romance in Isabel Allende’s novel "Of Love and Shadows."
  • E. Manuel Serrano
    Manuel Serrano is a computer scientist and software engineer best known for creating and maintaining the Bigloo Scheme compiler and contributing to programming language implementation and web programming tools.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cd851081909d5665b362ae08de completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.