Triple
T20977230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Christie |
E516656
|
entity |
| Predicate | employedResearchMethod |
P28210
|
FINISHED |
| Object | empirical scale construction |
—
|
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: empirical scale construction | Statement: [Richard Christie, employedResearchMethod, empirical scale construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employedResearchMethod Context triple: [Richard Christie, employedResearchMethod, empirical scale construction]
-
A.
researchApproach
Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
-
B.
methodologyType
chosen
Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
-
C.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
D.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
E.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba4a0dc819083b90795d26adfff |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:47 p.m.