Triple
T32877048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kal-if-fee |
E840955
|
entity |
| Predicate | creatorFranchiseOwner |
P198467
|
FINISHED |
| Object | Paramount Pictures |
—
|
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: Paramount Pictures | Statement: [kal-if-fee, creatorFranchiseOwner, Paramount Pictures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorFranchiseOwner Context triple: [kal-if-fee, creatorFranchiseOwner, Paramount Pictures]
-
A.
franchiseOwner
Indicates that one entity holds the ownership and operating rights of a franchise granted by another entity.
-
B.
franchiseCreatorOf
Indicates that an entity is the original creator or originator of a particular franchise.
-
C.
developerOfFranchise
Indicates that an entity is the creator or primary developer responsible for originating or establishing a particular franchise.
-
D.
createdByFranchise
Indicates that something (such as a work, product, or entity) was produced or brought into existence by a particular franchise or franchise brand.
-
E.
createdFranchise
Indicates that one entity is the originator or founder of a franchise associated with another entity.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
| PDg | Predicate description generation | batch_69fee690af688190a845310f102a0c83 |
completed | May 9, 2026, 7:47 a.m. |
Created at: May 1, 2026, 1:18 a.m.