Triple
T7187710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Propeller Mushroom |
E167611
|
entity |
| Predicate | usedByCharacter |
P31799
|
FINISHED |
| Object | Toadette |
E370317
|
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: Toadette | Statement: [Propeller Mushroom, usedByCharacter, Toadette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toadette Context triple: [Propeller Mushroom, usedByCharacter, Toadette]
-
A.
Toadette
chosen
Toadette is a cheerful, pink, pigtail-wearing Toad character from Nintendo’s Mario series who appears as a playable racer in various Mario spin-off games.
-
B.
Pichu
Pichu is a small, baby Electric-type Pokémon known as the pre-evolved form of Pikachu, often depicted as playful and inexperienced with its own electricity.
-
C.
Pichu Pichu
Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
-
D.
Abra
Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
-
E.
Abra
Abra is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," serving as a companion and confidante to the heroine Juditha.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e2506881909fc4e81b9b79e873 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b956ce048190b377dd62f5b5b173 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:50 p.m.