Triple

T3389451
Position Surface form Disambiguated ID Type / Status
Subject The Forty-Five Guardsmen E71381 entity
Predicate relatedWork P37 FINISHED
Object Queen Margot E71133 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: Queen Margot | Statement: [The Forty-Five Guardsmen, relatedWork, Queen Margot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Margot
Context triple: [The Forty-Five Guardsmen, relatedWork, Queen Margot]
  • A. Queen Margot chosen
    Queen Margot is a historical adventure novel by Alexandre Dumas that dramatizes the turbulent French Wars of Religion and the life of Marguerite de Valois.
  • B. Die Jungfrau von Orleans
    Die Jungfrau von Orleans is a historical tragedy by Friedrich Schiller that dramatizes the life and martyrdom of Joan of Arc during the Hundred Years’ War.
  • C. Die Jugend des Königs Henri Quatre
    Die Jugend des Königs Henri Quatre is a historical novel by Heinrich Mann that portrays the early life and political formation of the future French king Henry IV.
  • D. Empress of the French
    Empress of the French was the imperial title held by the wife of Napoleon I during the First French Empire, most notably borne by Joséphine de Beauharnais.
  • E. Lady of Montargis
    Lady of Montargis is a noble title historically associated with Eleanor of England, Countess of Pembroke, reflecting her lordship over the French lordship of Montargis.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc62c788190b6097e02601df386 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.