Triple
T9437825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Maguire |
E227559
|
entity |
| Predicate | usesResearchMethod |
P28210
|
FINISHED |
| Object | functional magnetic resonance imaging |
—
|
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: functional magnetic resonance imaging | Statement: [Eleanor Maguire, usesResearchMethod, functional magnetic resonance imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesResearchMethod Context triple: [Eleanor Maguire, usesResearchMethod, functional magnetic resonance imaging]
-
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.
usesInvestigativeMethods
Indicates that an entity employs investigative techniques or procedures to gather information, analyze evidence, or uncover facts.
-
D.
hasResearchUse
Indicates that an entity is used for, or associated with, conducting research activities or purposes.
-
E.
methodologyType
chosen
Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7edff5e881909b72976e8909ba4b |
completed | April 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:50 p.m.