Triple
T36183272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose (Small World) |
E1046773
|
entity |
| Predicate | storyContribution |
P35676
|
FINISHED |
| Object | shapes emotional tone of the musical |
—
|
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: shapes emotional tone of the musical | Statement: [Rose (Small World), storyContribution, shapes emotional tone of the musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyContribution Context triple: [Rose (Small World), storyContribution, shapes emotional tone of the musical]
-
A.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
B.
worksOnStoryAbout
Indicates that one entity is actively engaged in creating, developing, or contributing to a story whose subject or focus is another entity.
-
C.
storyEngine
Indicates that one entity functions as a narrative-generating or plot-controlling mechanism for another entity or set of events.
-
D.
storyElement
chosen
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
E.
tributeIn
Indicates that one entity pays or provides tribute within, or to the authority of, a specified place or jurisdiction.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.