Triple
T6943104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mikado |
E160725
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Yum-Yum
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
|
E631563
|
NE FINISHED |
How this triple was built (4 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: Yum-Yum | Statement: [The Mikado, hasCharacter, Yum-Yum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yum-Yum Context triple: [The Mikado, hasCharacter, Yum-Yum]
-
A.
Mopsy
Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Mollie
Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
-
D.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
E.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yum-Yum Triple: [The Mikado, hasCharacter, Yum-Yum]
Generated description
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yum-Yum Target entity description: Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
-
A.
Mopsy
Mopsy is one of Peter Rabbit’s well-behaved sister rabbits in Beatrix Potter’s classic children’s stories.
-
B.
Petey
Petey is a diminutive nickname commonly used for people named Peter.
-
C.
Mollie
Mollie is a young girl in Enid Blyton's "The Wishing-Chair" series who, along with her brother Peter, goes on magical adventures using a flying wishing-chair.
-
D.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
E.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
- F. None of above. chosen
Provenance (5 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da876c9c8190996f3ff84858e8d1 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75866a2408190b472fdad73a8799b |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c75a9485508190b65bb9447b0e3f69 |
completed | March 28, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75b0ec4088190a492faea485dd7d1 |
completed | March 28, 2026, 4:37 a.m. |
Created at: March 27, 2026, 2:28 p.m.