Triple
T58727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feynman–Hellmann theorem |
E1162
|
entity |
| Predicate | typeOf |
P4224
|
FINISHED |
| Object | eigenvalue perturbation result |
—
|
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: eigenvalue perturbation result | Statement: [Feynman–Hellmann theorem, typeOf, eigenvalue perturbation result]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOf Context triple: [Feynman–Hellmann theorem, typeOf, eigenvalue perturbation result]
-
A.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
B.
instanceOf
relation of type constraints
-
C.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
D.
typeOfOperation
Indicates the specific kind or category of operation being performed or referenced in a given context.
-
E.
typeOfInheritance
Indicates the kind or pattern of inheritance by which a trait, property, or characteristic is passed from one entity or generation to another.
- F. None of above. chosen
Provenance (4 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_69a24a552ef88190a0df287d68c65cba |
completed | Feb. 28, 2026, 1:52 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24e9f40908190a2f4a2111469b733 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a250e2a80881909e5a653260e6f8e0 |
completed | Feb. 28, 2026, 2:20 a.m. |
Created at: Feb. 28, 2026, 1:55 a.m.