Triple
T3229716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adele Sherbert |
E67708
|
entity |
| Predicate | reasonForJobLoss |
P15987
|
FINISHED |
| Object | refusal to work on Saturday shifts |
—
|
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: refusal to work on Saturday shifts | Statement: [Adele Sherbert, reasonForJobLoss, refusal to work on Saturday shifts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForJobLoss Context triple: [Adele Sherbert, reasonForJobLoss, refusal to work on Saturday shifts]
-
A.
reasonForLeaving
chosen
Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
-
B.
reasonForWork
Indicates that one entity specifies the motivation, cause, or purpose behind another entity’s work or activity.
-
C.
employment
Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
-
D.
employmentContext
Indicates the situational or organizational setting in which an employment relationship or work activity takes place.
-
E.
typeOfOccupationEnded
Indicates that a particular type of occupation or job role has come to an end for an entity.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb826588190a93bcfb1242310e7 |
completed | March 8, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.