Triple
T14568511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Weiss |
E341850
|
entity |
| Predicate | hasOccupationFocus |
P114705
|
FINISHED |
| Object | helping consultants increase income and impact |
—
|
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: helping consultants increase income and impact | Statement: [Alan Weiss, hasOccupationFocus, helping consultants increase income and impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccupationFocus Context triple: [Alan Weiss, hasOccupationFocus, helping consultants increase income and impact]
-
A.
hasOccupationTheme
Indicates that something (such as a work or resource) centrally involves or focuses on a particular occupation or type of work as its main theme.
-
B.
dedicatedToOccupation
Indicates that an entity is committed or devoted to performing or pursuing a particular occupation or professional role.
-
C.
holderIsOccupation
Indicates that the holder entity has the specified occupation or job role.
-
D.
subjectHasOccupationContext
Indicates that a subject’s occupation is specified or interpreted within a particular contextual framework (such as time, place, or situation).
-
E.
coversOccupation
Indicates that one entity provides information about, includes, or pertains to another entity’s occupation or professional role.
- F. None of above. chosen
Provenance (4 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:23 a.m.