Triple
T12326396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madama Butterfly |
E293840
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Cio-Cio-San |
E487517
|
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: Cio-Cio-San | Statement: [Madama Butterfly, mainCharacter, Cio-Cio-San]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cio-Cio-San Context triple: [Madama Butterfly, mainCharacter, Cio-Cio-San]
-
A.
Cio-Cio San
chosen
Cio-Cio San is the tragic Japanese geisha heroine of Giacomo Puccini’s opera "Madama Butterfly."
-
B.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
-
C.
Yoshiko
Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
-
D.
Sachiko
Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
-
E.
Shen Te
Shen Te is the central character in Bertolt Brecht’s play "The Good Person of Szechwan," a compassionate but struggling woman whose attempts to live morally in a corrupt society force her to adopt a harsher alter ego.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f4f90a881908c5060dd197744d1 |
completed | April 10, 2026, 6:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8d27288190bdf32acd600141db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.