Triple
T27540609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanji’s Oresama Restaurant |
E695222
|
entity |
| Predicate | ownerFranchiseHolder |
P144445
|
FINISHED |
| Object | Toei Animation |
—
|
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: Toei Animation | Statement: [Sanji’s Oresama Restaurant, ownerFranchiseHolder, Toei Animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerFranchiseHolder Context triple: [Sanji’s Oresama Restaurant, ownerFranchiseHolder, Toei Animation]
-
A.
franchiseOwner
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
B.
originalFranchiseHolder
chosen
Indicates that one entity is the original owner or holder of the rights to a particular franchise associated with another entity.
-
C.
hostFranchise
Indicates that one entity serves as the host organization or location for a particular franchise associated with another entity.
-
D.
hasFranchiseRightsholder
Indicates that one entity holds the legal or contractual rights to operate, manage, or exploit a particular franchise owned by another entity.
-
E.
franchiseOwnerOfSeries
Indicates that one entity holds the franchise ownership rights to a particular series.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 1:30 p.m.