Triple
T33284856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flutterbudget Center |
E852152
|
entity |
| Predicate | appearsInFictionalFranchise |
P192578
|
FINISHED |
| Object | Oz series |
—
|
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: Oz series | Statement: [Flutterbudget Center, appearsInFictionalFranchise, Oz series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFictionalFranchise Context triple: [Flutterbudget Center, appearsInFictionalFranchise, Oz series]
-
A.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
-
B.
appearsInFictionAs
chosen
Indicates that one entity is depicted or represented as a character, figure, or element within a fictional work or narrative.
-
C.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
D.
includedInFranchise
Indicates that an entity is part of, or belongs to, a larger franchise or franchise series.
-
E.
followsInFranchise
Indicates that one work or installment comes after another within the same franchise’s internal sequence or continuity.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 1, 2026, 1:32 a.m.