Triple

T21313015
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand, King of Navarre E525391 entity
Predicate interactsWith P3970 FINISHED
Object Boyet 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: Boyet | Statement: [Ferdinand, King of Navarre, interactsWith, Boyet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyet
Context triple: [Ferdinand, King of Navarre, interactsWith, Boyet]
  • A. Boyet chosen
    Boyet is a witty and perceptive French lord in Shakespeare’s comedy "Love’s Labour’s Lost," serving as an attendant and advisor to the Princess of France.
  • B. Boye
    Boye is a small river in North Rhine-Westphalia, Germany, that forms part of the Emscher river system in the Ruhr industrial region.
  • C. Boye
    Boye is the surname of Karin Boye, a renowned Swedish poet and novelist known for her modernist works and the dystopian novel "Kallocain."
  • D. Bohley
    Bohley is a German surname most notably borne by Bärbel Bohley, a prominent East German civil rights activist and painter.
  • E. Boggs
    Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcb45f08190a9bcaa366964a2cb completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:25 p.m.