Triple
T10414294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Assessment |
E245475
|
entity |
| Predicate | testTakerBackground |
P94021
|
FINISHED |
| Object | candidates with significant work experience |
—
|
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: candidates with significant work experience | Statement: [Executive Assessment, testTakerBackground, candidates with significant work experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testTakerBackground Context triple: [Executive Assessment, testTakerBackground, candidates with significant work experience]
-
A.
testTakers
Indicates that certain entities are individuals or groups who participate in taking a specific test or examination.
-
B.
testedPerson
Indicates that one entity has been subjected to a test, examination, or evaluation involving another entity.
-
C.
proctoring
Indicates overseeing or supervising an exam or assessment to ensure rules are followed and integrity is maintained.
-
D.
testPilot
Indicates that an entity serves as a pilot responsible for testing and evaluating aircraft or related flight systems.
-
E.
testType
Indicates the specific category or kind of test associated with an entity or event.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea0ec6fc8190a71af759226a3cba |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:10 p.m.