Triple
T26692919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Party: The Top 100 |
E672936
|
entity |
| Predicate | playableCharactersInclude |
P43877
|
FINISHED |
| Object |
Daisy
Daisy is a recurring princess character in Nintendo's Mario series, known for her energetic personality and frequent appearances in spin-off titles like sports and party games.
|
E1697022
|
NE FINISHED |
How this triple was built (3 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: Daisy | Statement: [Mario Party: The Top 100, playableCharactersInclude, Daisy]
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: Daisy Triple: [Mario Party: The Top 100, playableCharactersInclude, Daisy]
Generated description
Daisy is a recurring princess character in Nintendo's Mario series, known for her energetic personality and frequent appearances in spin-off titles like sports and party games.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playableCharactersInclude Context triple: [Mario Party: The Top 100, playableCharactersInclude, Daisy]
-
A.
hasPlayableCharacter
chosen
Indicates that an entity includes or is associated with a character that a user can control or play as.
-
B.
characterInPlayBy
Indicates that a character appears in or is part of a play authored or created by a specific person.
-
C.
numberOfPlayableCharacters
Indicates the total count of distinct characters that can be actively controlled or played by a user in a game or interactive experience.
-
D.
playableCharacterFormOf
Indicates that one entity is a specific form or version of another entity as it appears as a playable character.
-
E.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
- F. None of above.
Provenance (6 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11fe704184819090d6224b4f75dad6 |
completed | May 23, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_6a11ff162d588190a1f98429d7fe5154 |
completed | May 23, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ff99fdbc81909fd5646fb32987a2 |
completed | May 23, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 3:27 a.m.