Triple
T28880755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starobinsky R^2 inflation model |
E732409
|
entity |
| Predicate | EinsteinFrameContains |
P124922
|
FINISHED |
| Object | scalaron field |
—
|
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: scalaron field | Statement: [Starobinsky R^2 inflation model, EinsteinFrameContains, scalaron field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EinsteinFrameContains Context triple: [Starobinsky R^2 inflation model, EinsteinFrameContains, scalaron field]
-
A.
EinsteinPosition
Indicates that an entity holds or has held a professional or academic position associated with Einstein (such as at an Einstein-named institution, program, or chair).
-
B.
einsteinSignedOn
Indicates that Einstein formally agreed to, endorsed, or placed his signature on a specified document, proposal, or agreement.
-
C.
EinsteinDescription
Indicates that one entity provides a descriptive summary or characterization of Einstein.
-
D.
usesFrame
chosen
Indicates that one entity employs, relies on, or is structured around a particular frame, framework, or reference structure provided by another entity.
-
E.
isLorentz
Indicates that a transformation preserves the Lorentzian spacetime interval, i.e., it is a valid Lorentz transformation between inertial reference frames.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a6d639481909e661755a5838a47 |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:43 a.m.