Triple
T31786518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Underpants and the Attack of the Talking Toilets |
E811345
|
entity |
| Predicate | superhero |
P99105
|
FINISHED |
| Object | Captain Underpants |
—
|
NE NERFINISHED |
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: Captain Underpants | Statement: [Captain Underpants and the Attack of the Talking Toilets, superhero, Captain Underpants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superhero Context triple: [Captain Underpants and the Attack of the Talking Toilets, superhero, Captain Underpants]
-
A.
superheroStatus
Indicates that an entity possesses the qualities, role, or designation of being a superhero, such as having heroic abilities, identity, or status.
-
B.
heroDepicted
chosen
Indicates that one entity is portrayed or represented as a hero in relation to another entity.
-
C.
associatedWithSuperhero
Indicates that one entity has a notable connection, link, or involvement with a superhero entity.
-
D.
comicBookUniverse
Indicates that multiple comic book characters, stories, or events exist within and are governed by the same fictional continuity or shared narrative world.
-
E.
roleInComics
Indicates that an entity holds a specific role or function within the context of comic books or comic-related works.
- F. None of above.
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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 30, 2026, 11:38 p.m.