Triple
T26794371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Hotel New York |
E670603
|
entity |
| Predicate | rethemingEnd |
P63193
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [Disney’s Hotel New York, rethemingEnd, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rethemingEnd Context triple: [Disney’s Hotel New York, rethemingEnd, 2021]
-
A.
rethemendFrom
Indicates that something is recommended or endorsed based on or derived from another source or entity.
-
B.
endTheme
Indicates that something serves as the concluding or final thematic element within a larger sequence, work, or context.
-
C.
rethemeFocus
Indicates a shift or redirection of emphasis, attention, or thematic focus from one subject or aspect to another.
-
D.
transformationTheme
Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
-
E.
rethemeYear
chosen
Indicates the year in which something (such as a product, event, or venue) is given a new theme or is thematically redesigned.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f619bdeaa481909f4801c066eecf18 |
completed | May 2, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:18 a.m.