Triple
T28761780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byker Grove |
E726133
|
entity |
| Predicate | launchPadForCareerOf |
P90207
|
FINISHED |
| Object | Ant & Dec |
—
|
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: Ant & Dec | Statement: [Byker Grove, launchPadForCareerOf, Ant & Dec]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchPadForCareerOf Context triple: [Byker Grove, launchPadForCareerOf, Ant & Dec]
-
A.
helpsLaunchCareerOf
chosen
Indicates that one entity plays a significant role in starting, advancing, or establishing the professional career of another entity.
-
B.
launchPad
Indicates a physical platform or site from which vehicles, typically rockets or spacecraft, are launched.
-
C.
startedStandUpCareer
Indicates that an individual began their professional involvement in stand-up comedy at a particular time or event.
-
D.
studCareerStart
Indicates the point in time when a student's professional or academic career begins.
-
E.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:12 a.m.