Triple
T36959599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oddworld Inhabitants |
E914272
|
entity |
| Predicate | franchiseCreated |
P39805
|
FINISHED |
| Object | Oddworld franchise |
—
|
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: Oddworld franchise | Statement: [Oddworld Inhabitants, franchiseCreated, Oddworld franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCreated Context triple: [Oddworld Inhabitants, franchiseCreated, Oddworld franchise]
-
A.
franchiseStart
Indicates the point in time or event at which a franchise or franchising relationship is initiated or begins.
-
B.
franchiseCreatorOf
chosen
Indicates that an entity is the original creator or originator of a particular franchise.
-
C.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or series.
-
D.
createdFranchise
Indicates that one entity is the originator or founder of a franchise associated with another entity.
-
E.
createdForFranchise
Indicates that something was created specifically to belong to, support, or be used within 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.