Triple
T6440627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentin |
E138209
|
entity |
| Predicate | platformOfWork |
P53112
|
FINISHED |
| Object | virtual reality |
—
|
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: virtual reality | Statement: [Quentin, platformOfWork, virtual reality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformOfWork Context triple: [Quentin, platformOfWork, virtual reality]
-
A.
platformOfWorkAppearingIn
Indicates the platform or medium on which a given work is presented, published, or made available.
-
B.
platformsOfWork
chosen
Indicates the work-related platforms or environments through which an entity performs, offers, or organizes work.
-
C.
locationOfWork
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
D.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
E.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.