Triple
T33803526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She's So High |
E866305
|
entity |
| Predicate | writerOccupation |
P13413
|
FINISHED |
| Object | singer-songwriter |
—
|
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: singer-songwriter | Statement: [She's So High, writerOccupation, singer-songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writerOccupation Context triple: [She's So High, writerOccupation, singer-songwriter]
-
A.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
B.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
employedWriter
Indicates that a writer is formally employed by a person, organization, or entity to perform writing-related work.
-
D.
yazarGörevi
Indicates a relationship where an entity serves in the role or capacity of an author for another entity (such as a work, document, or content).
-
E.
coAuthorOccupation
Indicates that two or more co-authors share the same or closely related professional occupation.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:46 a.m.