Triple
T3228778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owl City |
E67686
|
entity |
| Predicate | occupationOfCreator |
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: [Owl City, occupationOfCreator, singer-songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOfCreator Context triple: [Owl City, occupationOfCreator, singer-songwriter]
-
A.
creatorOccupation
chosen
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
C.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
D.
majorWorkCreator
Indicates that the subject is the primary creator or author responsible for the major work represented by the object.
-
E.
relatedWorkCreator
Indicates that the creator of one work is related (e.g., by authorship, contribution, or collaboration) to the creation of another work.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.