Triple
T31601904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seas |
E806368
|
entity |
| Predicate | franchiseUsed |
P73117
|
FINISHED |
| Object | Finding Nemo |
—
|
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: Finding Nemo | Statement: [The Seas, franchiseUsed, Finding Nemo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseUsed Context triple: [The Seas, franchiseUsed, Finding Nemo]
-
A.
usedByFranchise
chosen
Indicates that something (such as a resource, asset, or element) is utilized or employed by a particular franchise.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
franchiseBrand
Indicates that one entity is the brand under which another entity operates as a franchise.
-
D.
franchiseIntent
Indicates an entity’s intention or plan to establish, acquire, or operate a franchise relationship with another entity.
-
E.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a86bb67481909a8362799c445010 |
completed | May 3, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:33 p.m.