Triple
T35184056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low’s soft-photon theorem |
E1015933
|
entity |
| Predicate | softObject |
P182367
|
FINISHED |
| Object | photon |
—
|
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: photon | Statement: [Low’s soft-photon theorem, softObject, photon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softObject Context triple: [Low’s soft-photon theorem, softObject, photon]
-
A.
isSoft
Indicates that one entity has a soft or yielding texture or consistency when touched or pressed.
-
B.
notableObject
Indicates that an entity is especially significant, famous, or noteworthy as an object in a given context or domain.
-
C.
compactObject
Indicates that one entity is a dense, compact astronomical object (such as a white dwarf, neutron star, or black hole) in relation to another entity or context.
-
D.
SOType
Indicates the specific type or category of a sales order associated with an entity or transaction.
-
E.
objet
Indicates that one entity is the object (recipient or target) of an action or relation performed by another entity.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.