Triple
T33947599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burg/Koules Productions |
E870340
|
entity |
| Predicate | coProducedFranchise |
P165502
|
FINISHED |
| Object | Saw film 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: Saw film series | Statement: [Burg/Koules Productions, coProducedFranchise, Saw film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coProducedFranchise Context triple: [Burg/Koules Productions, coProducedFranchise, Saw film series]
-
A.
coProduced
Indicates that two or more entities jointly produced or created a work, project, or product together.
-
B.
coCreatedFranchiseWith
chosen
Indicates that two or more entities jointly created or originated the same franchise.
-
C.
producedFranchiseInstallment
Indicates that one entity produced a specific installment within a larger media franchise.
-
D.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
E.
franchiseWorkedOn
Indicates that an entity has contributed work to, or been professionally involved with, a particular franchise.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.