Triple
T9809483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Weiser Award |
E238231
|
entity |
| Predicate | recipientCareerStage |
P44284
|
FINISHED |
| Object | mid-career researchers |
—
|
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: mid-career researchers | Statement: [Mark Weiser Award, recipientCareerStage, mid-career researchers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recipientCareerStage Context triple: [Mark Weiser Award, recipientCareerStage, mid-career researchers]
-
A.
supportsCareerStage
Indicates that one entity provides resources, opportunities, or conditions that are appropriate or beneficial for another entity’s specific stage in their career.
-
B.
documentsCareerStage
chosen
Indicates that something records or specifies the career stage or professional phase of an entity.
-
C.
recipientOccupation
Indicates that the object specifies the job, profession, or role held by the recipient in the described relationship or event.
-
D.
isStageInCareerOf
Indicates that one entity represents a particular phase or stage within the professional career of another entity.
-
E.
studCareerBegan
Indicates that a student's professional or academic career started at a specified time or institution.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb220310c8190a16ca0b746f0ef7a |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.