Triple
T310029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Society Newton International Fellowships |
E6384
|
entity |
| Predicate | careerImpact |
P11376
|
FINISHED |
| Object | enhances prospects for independent research careers |
—
|
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: enhances prospects for independent research careers | Statement: [Royal Society Newton International Fellowships, careerImpact, enhances prospects for independent research careers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: careerImpact Context triple: [Royal Society Newton International Fellowships, careerImpact, enhances prospects for independent research careers]
-
A.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
B.
careerHits
Indicates the total number of hits a player has accumulated over the course of their entire professional career.
-
C.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
D.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
E.
workBecame
Indicates that one work was transformed, adapted, or evolved into another work over time.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea4778cc8190be7b648a82542891 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.