Triple
T24325730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Eriksen |
E613093
|
entity |
| Predicate | dreamJob |
P155730
|
FINISHED |
| Object | environmental lawyer |
—
|
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: environmental lawyer | Statement: [Marshall Eriksen, dreamJob, environmental lawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dreamJob Context triple: [Marshall Eriksen, dreamJob, environmental lawyer]
-
A.
employment
Indicates a relationship where one entity hires, contracts, or otherwise engages another to perform work or services, typically in exchange for compensation.
-
B.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
C.
employmentAction
Indicates an action or event that changes, initiates, or terminates an employment relationship between entities.
-
D.
wonWork
Indicates that one party has successfully secured or been awarded a particular job, contract, or work opportunity over others.
-
E.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
- 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ec92488190bea984d762a1ec47 |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:54 a.m.