Triple
T8511146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Foundation |
E201454
|
entity |
| Predicate | usesScience |
P20423
|
FINISHED |
| Object | psychohistory |
—
|
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: psychohistory | Statement: [First Foundation, usesScience, psychohistory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScience Context triple: [First Foundation, usesScience, psychohistory]
-
A.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
B.
primaryScienceUse
Indicates that something serves as the main or principal scientific purpose or application of an entity or resource.
-
C.
usesScientificInputFrom
chosen
Indicates that one entity bases its decisions, actions, or processes on scientific data, analysis, or expertise provided by another entity.
-
D.
positionOnScience
Indicates the stance, viewpoint, or attitude an entity holds regarding science or scientific matters.
-
E.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe608e5b08190a6d551793e8ed94b |
completed | March 31, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69cbd10cfd208190a519049fad32c508 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:15 p.m.