Triple
T33749451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo Burnham |
E864795
|
entity |
| Predicate | startedCareerOn |
P89592
|
FINISHED |
| Object | YouTube |
—
|
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: YouTube | Statement: [Bo Burnham, startedCareerOn, YouTube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedCareerOn Context triple: [Bo Burnham, startedCareerOn, YouTube]
-
A.
startedCareerWith
chosen
Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
-
B.
startedStandUpCareerIn
Indicates that an individual began their stand-up comedy career in a particular place or context.
-
C.
startedSoloCareer
Indicates that an individual began pursuing a professional career independently, separate from any previous group or collaborative affiliation.
-
D.
launchedCareerOf
Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
-
E.
startedStandUpCareer
Indicates that an individual began their professional involvement in stand-up comedy at a particular time or event.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: May 1, 2026, 1:45 a.m.