Triple
T23561714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Be Your Shelter |
E579256
|
entity |
| Predicate | helpedSolidifyCareerOf |
P44746
|
FINISHED |
| Object | Taylor Dayne |
—
|
NE NERFINISHED |
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: Taylor Dayne | Statement: [I'll Be Your Shelter, helpedSolidifyCareerOf, Taylor Dayne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedSolidifyCareerOf Context triple: [I'll Be Your Shelter, helpedSolidifyCareerOf, Taylor Dayne]
-
A.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
-
B.
helpsLaunchCareerOf
Indicates that one entity plays a significant role in starting, advancing, or establishing the professional career of another entity.
-
C.
developsCareerIn
Indicates that an entity actively builds, advances, or pursues a professional path within a particular field, role, or organization.
-
D.
supportedCareerOf
chosen
Indicates that one entity provided assistance, resources, or endorsement that helped establish or advance another entity’s career.
-
E.
launchedCareerOf
Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af68cddc8190ab9d0b7ee1f157ed |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:20 p.m.