Triple
T9428785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry On |
E227320
|
entity |
| Predicate | incorporatesMaterialFrom |
P49659
|
FINISHED |
| Object | Questions |
—
|
LITERAL FINISHED |
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: Questions | Statement: [Carry On, incorporatesMaterialFrom, Questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatesMaterialFrom Context triple: [Carry On, incorporatesMaterialFrom, Questions]
-
A.
incorporatedFrom
Indicates that one entity was formed, established, or legally created by deriving or transforming from another pre-existing entity.
-
B.
incorporatesElementsFrom
Indicates that one entity includes or integrates components, features, or aspects derived from another entity.
-
C.
featuresMaterialFrom
chosen
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
D.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
E.
associatedWithMaterial
Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:49 p.m.