Triple
T20005369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Scout |
E494443
|
entity |
| Predicate | roleAtWork |
P44925
|
FINISHED |
| Object | macrodata refiner |
—
|
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: macrodata refiner | Statement: [Mark Scout, roleAtWork, macrodata refiner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtWork Context triple: [Mark Scout, roleAtWork, macrodata refiner]
-
A.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social context.
-
B.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
C.
roleDuringOccupation
Indicates the specific role or position an entity held during a particular occupation or period of control.
-
D.
positionInWork
Indicates the specific role, rank, or placement an entity holds within a larger work or structured composition.
-
E.
workPosition
Indicates the specific job role or position that an entity holds within an organization or workplace.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.