Triple
T31144753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline and the Bad Hat |
E793890
|
entity |
| Predicate | PepitoRole |
P171194
|
FINISHED |
| Object | Spanish ambassador's son |
—
|
LITERAL 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: Spanish ambassador's son | Statement: [Madeline and the Bad Hat, PepitoRole, Spanish ambassador's son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PepitoRole Context triple: [Madeline and the Bad Hat, PepitoRole, Spanish ambassador's son]
-
A.
roleInPikmin2
Indicates the specific function, position, or part an entity has within the context of the game Pikmin 2.
-
B.
PPPRole
Indicates a role or function that an entity holds within a particular PPP (public–private partnership) or similarly structured program or project.
-
C.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
D.
roleInPikmin4
Indicates the specific function, importance, or part an entity plays within the context of the game Pikmin 4.
-
E.
roleInKirbySuperStar
Indicates the specific function or part an entity plays within the context of the game *Kirby Super Star*.
- F. None of above. chosen
Provenance (4 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_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:06 p.m.