Triple
T32060946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dug’s Special Mission |
E818744
|
entity |
| Predicate | franchiseCharacterOriginStory |
P52434
|
FINISHED |
| Object | Dug |
—
|
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: Dug | Statement: [Dug’s Special Mission, franchiseCharacterOriginStory, Dug]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCharacterOriginStory Context triple: [Dug’s Special Mission, franchiseCharacterOriginStory, Dug]
-
A.
franchiseOriginCharacter
Indicates that a character is the original or primary character from which a franchise or its derivative works originate.
-
B.
franchiseCharacter
chosen
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
C.
originOfCharacter
Indicates the source or place from which a character originates or is created.
-
D.
franchiseLegacy
Indicates that an entity continues, inherits, or extends the storyline, brand, or creative universe established by an earlier work in the same franchise.
-
E.
createdForFranchise
Indicates that something was created specifically to belong to, support, or be used within a particular franchise.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f5356c8190848a6ecf234db9da |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:21 a.m.