Triple
T26558752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star vs. the Forces of Evil Theme Song |
E666182
|
entity |
| Predicate | franchiseOwnerOfSeries |
P162163
|
FINISHED |
| Object | Disney |
—
|
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: Disney | Statement: [Star vs. the Forces of Evil Theme Song, franchiseOwnerOfSeries, Disney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseOwnerOfSeries Context triple: [Star vs. the Forces of Evil Theme Song, franchiseOwnerOfSeries, Disney]
-
A.
franchiseOwner
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
B.
franchiseOwnerOfWorkItAppearsIn
Indicates that a franchise is the owner or controlling rights holder of the work in which a given entity appears.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
ownsMajorFranchiseIn
Indicates that an entity has controlling or primary ownership of a major franchise operating within a specified location or jurisdiction.
-
E.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 1:51 a.m.