Triple
T26558945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Beakley |
E666186
|
entity |
| Predicate | reimaginedIn |
P152788
|
FINISHED |
| Object | DuckTales (2017 TV 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: DuckTales (2017 TV series) | Statement: [Mrs. Beakley, reimaginedIn, DuckTales (2017 TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reimaginedIn Context triple: [Mrs. Beakley, reimaginedIn, DuckTales (2017 TV series)]
-
A.
reimagines
Indicates that one entity creatively reconceives, interprets, or presents another in a significantly new or different way.
-
B.
remadeFor
Indicates that one work has been recreated or adapted specifically for another context, audience, or medium.
-
C.
partOfReimaginingOf
Indicates that something is a component or segment within a larger work that is itself a reimagined version of an earlier work.
-
D.
containsReimaginedVersionsOf
chosen
Indicates that one entity includes or incorporates updated, reinterpreted, or newly imagined versions of another entity.
-
E.
recreated
Indicates that an entity has been created again or restored, typically after being removed, destroyed, or significantly altered.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6146a78bc81908ff10eca1fe217b0 |
completed | May 2, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:51 a.m.