Triple
T23273510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian Campbell |
E588352
|
entity |
| Predicate | startOfActiveCareer |
P67641
|
FINISHED |
| Object | late 1970s |
—
|
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: late 1970s | Statement: [Vivian Campbell, startOfActiveCareer, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfActiveCareer Context triple: [Vivian Campbell, startOfActiveCareer, late 1970s]
-
A.
startTimeOfProfessionalCareer
chosen
Indicates the point in time when an individual’s professional career formally begins.
-
B.
startedCareerWith
Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
-
C.
startTimeOfCreativeCareer
Indicates the point in time when an entity’s creative career or artistic professional activity began.
-
D.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
-
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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19575d8988190a8f8496f9110ce8c |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:47 p.m.