Triple
T30876590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papa Mama Loca Pipa |
E786493
|
entity |
| Predicate | fictionalLanguageUsed |
P107786
|
FINISHED |
| Object | Minion-style gibberish |
—
|
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: Minion-style gibberish | Statement: [Papa Mama Loca Pipa, fictionalLanguageUsed, Minion-style gibberish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalLanguageUsed Context triple: [Papa Mama Loca Pipa, fictionalLanguageUsed, Minion-style gibberish]
-
A.
fictionalLanguage
chosen
Indicates a relationship where an entity uses, is expressed in, or is associated with a language that is invented or does not exist in reality.
-
B.
fictionalUse
Indicates that one entity makes use of another within a fictional or imaginary context, rather than in real-world usage.
-
C.
fictionalUniverseLanguage
Indicates that a language is used or exists within a particular fictional universe.
-
D.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
E.
fictionalInvention
Indicates that one entity is an invention or creation that exists only within the fictional context of another entity (such as a story, universe, or work).
- 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 29, 2026, 8:48 p.m.