Triple
T15275731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shane Harper |
E365134
|
entity |
| Predicate | startTimeOfCreativeWorkCareer |
P115238
|
FINISHED |
| Object | 2000s |
—
|
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: 2000s | Statement: [Shane Harper, startTimeOfCreativeWorkCareer, 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfCreativeWorkCareer Context triple: [Shane Harper, startTimeOfCreativeWorkCareer, 2000s]
-
A.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
B.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
-
C.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
D.
startedCareerWith
Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
-
E.
notableWorkPeriodStart
chosen
Indicates the point in time when an entity’s period of producing its notable work or works begins.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.