Triple

T15042898
Position Surface form Disambiguated ID Type / Status
Subject La reine de Saba E378644 entity
Predicate publisher P29 FINISHED
Object Choudens E189272 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: Choudens | Statement: [La reine de Saba, publisher, Choudens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choudens
Context triple: [La reine de Saba, publisher, Choudens]
  • A. Choudens chosen
    Choudens was a prominent 19th-century French music publishing house known for issuing major operatic works, including Bizet’s Carmen.
  • B. Chaiken
    Chaiken is a surname most notably associated with Ilene Chaiken, an American television producer, writer, and creator of the groundbreaking series "The L Word."
  • C. Chondo
    Chondo is the abbreviated name commonly used to refer to the Korean Social Democratic Party, a minor political party in North Korea.
  • D. Tucheim
    Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
  • E. Shiranesansō
    Shiranesansō is a mountain hut located on or near Mount Kita in Japan, serving as accommodation and a base for hikers and climbers in the Southern Japanese Alps.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de388508190bb0ecc04740cbe15 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.