Triple
T2754808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuwaiti American |
E61073
|
entity |
| Predicate | mayWorkIn |
P41675
|
FINISHED |
| Object | professional occupations |
—
|
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: professional occupations | Statement: [Kuwaiti American, mayWorkIn, professional occupations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayWorkIn Context triple: [Kuwaiti American, mayWorkIn, professional occupations]
-
A.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
B.
eligibleWork
Indicates that a particular work satisfies the necessary conditions or criteria to qualify for a specified status, benefit, or consideration.
-
C.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
workIncludes
Indicates that a work (such as a project, document, or creative piece) contains or incorporates another specified component, part, or element.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb7073d081909da84b21015972f2 |
completed | March 7, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69abd82d005c81908a1ac7a1313c6d88 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd91497ec8190927e91ad33549eda |
completed | March 7, 2026, 7:51 a.m. |
Created at: March 6, 2026, 9:56 p.m.