Triple
T9689905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Troyens |
E234509
|
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: [Les Troyens, publisher, Choudens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choudens Context triple: [Les Troyens, 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.
Chondo
Chondo is the abbreviated name commonly used to refer to the Korean Social Democratic Party, a minor political party in North Korea.
-
C.
Tucheim
Tucheim is a village and former municipality that is now part of the town of Genthin in the German state of Saxony-Anhalt.
-
D.
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.
-
E.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d02b20881909d7c0d5d6aaafcb0 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911427d48190855506ab61f8a2ce |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.