Triple
T31144752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline and the Bad Hat |
E793890
|
entity |
| Predicate | boyCharacterName |
P36851
|
FINISHED |
| Object | Pepito |
—
|
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: Pepito | Statement: [Madeline and the Bad Hat, boyCharacterName, Pepito]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boyCharacterName Context triple: [Madeline and the Bad Hat, boyCharacterName, Pepito]
-
A.
childCharacter
Indicates that one entity is a child version or child role of another character entity.
-
B.
characterName
chosen
Indicates that an entity has a specific name used to identify its character.
-
C.
childProtagonistPortrayedBy
Indicates that the protagonist, who is a child, is portrayed or played by a specific actor or performer.
-
D.
exampleCharacter
Indicates that one entity is an illustrative or sample character associated with another entity, typically used for demonstration or example purposes.
-
E.
childProtagonist
Indicates that the main character in the work is a child.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:06 p.m.