Triple
T28376033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside Out Emotional Whirlwind |
E718757
|
entity |
| Predicate | areaRetheme |
P20708
|
FINISHED |
| Object | Pixar Pier expansion |
—
|
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: Pixar Pier expansion | Statement: [Inside Out Emotional Whirlwind, areaRetheme, Pixar Pier expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRetheme Context triple: [Inside Out Emotional Whirlwind, areaRetheme, Pixar Pier expansion]
-
A.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
D.
themedAs
chosen
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
E.
themeExamples
Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c5e2f8c81909622f2f7e2093295 |
completed | May 2, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 1:03 a.m.