Triple
T32748360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keiko Miura |
E837421
|
entity |
| Predicate | universeFocus |
P175065
|
FINISHED |
| Object | giant monsters |
—
|
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: giant monsters | Statement: [Keiko Miura, universeFocus, giant monsters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universeFocus Context triple: [Keiko Miura, universeFocus, giant monsters]
-
A.
universe
Indicates that something pertains to, exists within, or is associated with the entirety of space, time, matter, and phenomena collectively referred to as the universe.
-
B.
cosmologyFocus
Indicates that the primary subject is focused on, concerned with, or thematically centered around cosmology or cosmological topics.
-
C.
universeActivity
Indicates an activity, process, or event that occurs at the scale of, or throughout, the universe.
-
D.
cosmologicalRealm
Indicates that one entity exists in, belongs to, or is associated with a particular cosmological realm or plane of existence relative to another.
-
E.
awarenessOfUniverse
Indicates an entity’s conscious recognition, understanding, or perception of the universe as a whole.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 1:12 a.m.