Triple
T26794370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Hotel New York |
E670603
|
entity |
| Predicate | rethemingStart |
P63193
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Disney’s Hotel New York, rethemingStart, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rethemingStart Context triple: [Disney’s Hotel New York, rethemingStart, 2019]
-
A.
rethemeFocus
Indicates a shift or redirection of emphasis, attention, or thematic focus from one subject or aspect to another.
-
B.
transformationTheme
Indicates a thematic relationship in which one entity centers on or explores the process, experience, or idea of transformation in another.
-
C.
rethemeYear
chosen
Indicates the year in which something (such as a product, event, or venue) is given a new theme or is thematically redesigned.
-
D.
themeChange
Indicates that an entity undergoes a change in its theme, style, or subject, typically transitioning from one thematic state or configuration to another.
-
E.
themeRevived
Indicates that an entity is brought back to life, restored, or reactivated as the central participant or focus of an event or action.
- 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_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 4:18 a.m.