Triple

T19254607
Position Surface form Disambiguated ID Type / Status
Subject Aníbal Cavaco Silva E481481 entity
Predicate givenName P17 FINISHED
Object Aníbal 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: Aníbal | Statement: [Aníbal Cavaco Silva, givenName, Aníbal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aníbal
Context triple: [Aníbal Cavaco Silva, givenName, Aníbal]
  • A. Aníbal chosen
    Aníbal is the given name of Aníbal Cavaco Silva, a prominent Portuguese economist and politician who served as both Prime Minister and President of Portugal.
  • B. Annibal
    Annibal was a French 74-gun ship of the line that served in the Royal Navy as HMS Achille after being captured during the American War of Independence.
  • C. Hannibal
    Hannibal is a historic Mississippi River town in Missouri best known as the boyhood home of Mark Twain and the setting for many of his classic works.
  • D. Hannibal
    Hannibal is a psychological horror novel by Thomas Harris that continues the story of FBI agent Clarice Starling and the cannibalistic serial killer Dr. Hannibal Lecter.
  • E. Hannibal
    Hannibal is a character in the play "The Curious Savage," known as one of the eccentric residents of a sanatorium whose quirks highlight themes of sanity, kindness, and societal values.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3459d08190a7c28ed3f8c82a97 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.