Triple
T17363625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmos (Godzilla) |
E422131
|
entity |
| Predicate | sizeRelativeToHumans |
P28652
|
FINISHED |
| Object | miniature |
—
|
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: miniature | Statement: [Cosmos (Godzilla), sizeRelativeToHumans, miniature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeRelativeToHumans Context triple: [Cosmos (Godzilla), sizeRelativeToHumans, miniature]
-
A.
sizeDescription
chosen
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
-
B.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
-
C.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
D.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
E.
differenceFromHumans
Indicates that something differs from humans in one or more characteristics, behaviors, or properties.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4f52988190847230e119a35b87 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.