Triple
T8763092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinderella (fairy tale) |
E208251
|
entity |
| Predicate | DisneyLiveActionAdaptationYear |
P2376
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Cinderella (fairy tale), DisneyLiveActionAdaptationYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DisneyLiveActionAdaptationYear Context triple: [Cinderella (fairy tale), DisneyLiveActionAdaptationYear, 2015]
-
A.
theatricalReleaseWith
Indicates that two or more entities share the same theatrical release context, such as being released together or as part of the same theatrical event or distribution.
-
B.
theatricalReleaseIn
Indicates that a film or performance was released or shown theatrically in a specified location or market.
-
C.
disneyLabel
Indicates that an entity is labeled, branded, or categorized under the Disney franchise or organization.
-
D.
adaptationReleaseYear
chosen
Indicates the year in which an adaptation of a work was released.
-
E.
sequelSpecialReleaseYear
Indicates the year in which a sequel received a special or re-released version.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfc85e481909a7ce80c5022e6e9 |
completed | March 31, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.