Triple

T11058882
Position Surface form Disambiguated ID Type / Status
Subject FNLA E261452 entity
Predicate foundedBy P104 FINISHED
Object Holden Roberto E261462 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: Holden Roberto | Statement: [FNLA, foundedBy, Holden Roberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden Roberto
Context triple: [FNLA, foundedBy, Holden Roberto]
  • A. Holden Roberto chosen
    Holden Roberto was an Angolan nationalist leader and founder of the National Liberation Front of Angola (FNLA), playing a major role in the country’s struggle for independence and subsequent conflicts.
  • B. Renaldo
    Renaldo is the titular character in Bob Dylan’s 1978 film "Renaldo and Clara," a surreal, semi-autobiographical drama blending concert footage with fictional vignettes.
  • C. Holden Thorp
    Holden Thorp is an American chemist, academic leader, and former university chancellor who serves as a prominent editor in the field of scientific publishing.
  • D. George Hernandez
    George Hernandez was an early 20th-century American character actor who appeared in numerous silent films.
  • E. Luke Alvez
    Luke Alvez is a former Army Ranger and FBI agent who joins the Behavioral Analysis Unit as a main profiler in the television series "Criminal Minds."
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.