Triple
T26747582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Boop |
E674441
|
entity |
| Predicate | debutStudioSeries |
P27678
|
FINISHED |
| Object | Talkartoons |
—
|
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: Talkartoons | Statement: [Betty Boop, debutStudioSeries, Talkartoons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debutStudioSeries Context triple: [Betty Boop, debutStudioSeries, Talkartoons]
-
A.
debutFeatureOf
Indicates that one entity is the first major or initial feature (such as a debut work or appearance) associated with another entity.
-
B.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
C.
debutNetworkAirDate
Indicates the calendar date on which a work was first broadcast on a television or radio network.
-
D.
bookSeriesDebut
Indicates the work in which a particular book series first appeared or was initially introduced.
-
E.
seriesDebut
chosen
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 3:52 a.m.