Triple
T4108563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmad Jamal |
E88512
|
entity |
| Predicate | startedProfessionalCareerAtAge |
P30329
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Ahmad Jamal, startedProfessionalCareerAtAge, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedProfessionalCareerAtAge Context triple: [Ahmad Jamal, startedProfessionalCareerAtAge, 14]
-
A.
ageAtStartOfRole
chosen
Indicates the age an entity was when they first began a specified role or position.
-
B.
startTimeOfMusicCareer
Indicates the point in time when an entity’s music career began.
-
C.
launchedCareerOf
Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
-
D.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
E.
ageInPrimaryWork
Indicates the age of an entity (typically a person or character) within the context of their primary work or main creative output.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:40 p.m.