Triple
T27285842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.J. Pete |
E688468
|
entity |
| Predicate | roleInAnExtremelyGoofyMovie |
P192553
|
FINISHED |
| Object | supporting character |
—
|
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: supporting character | Statement: [P.J. Pete, roleInAnExtremelyGoofyMovie, supporting character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAnExtremelyGoofyMovie Context triple: [P.J. Pete, roleInAnExtremelyGoofyMovie, supporting character]
-
A.
roleInAGoofyMovie
chosen
Indicates that an entity has a role or part in the production "A Goofy Movie."
-
B.
roleInGoofTroop
Indicates the specific role or function an entity has within the context of the Goof Troop series or franchise.
-
C.
roleInMonstersInc
Indicates the specific function, position, or part an entity has within the context of the movie “Monsters, Inc.”
-
D.
roleInDisney
Indicates that an entity has a role or participation in a Disney-related production, project, or organization.
-
E.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 27, 2026, 11:11 a.m.