Triple
T19223537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Man GLG |
E480677
|
entity |
| Predicate | usesResearchType |
P36094
|
FINISHED |
| Object | fundamental research |
—
|
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: fundamental research | Statement: [Man GLG, usesResearchType, fundamental research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesResearchType Context triple: [Man GLG, usesResearchType, fundamental research]
-
A.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
B.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
C.
hasTypeOfResearch
chosen
Indicates that an entity is associated with a particular category or kind of research it involves or conducts.
-
D.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
E.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa95743481909314fd14e2c3d189 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:24 p.m.