Triple
T31025632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nae |
E790559
|
entity |
| Predicate | usageFormOf |
P26269
|
FINISHED |
| Object | given name Nicolae |
—
|
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: given name Nicolae | Statement: [Nae, usageFormOf, given name Nicolae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageFormOf Context triple: [Nae, usageFormOf, given name Nicolae]
-
A.
usageType
Indicates the specific manner, purpose, or context in which something is used or intended to be used.
-
B.
usagePattern
Indicates how something is typically used or the recurring manner in which it is employed or consumed.
-
C.
usageCategory
Indicates the classification of how something is used or the type of usage it falls under.
-
D.
usesForm
chosen
Indicates that one entity employs, applies, or operates through a particular form, format, or structured representation of something.
-
E.
usageInstruction
Indicates that one entity provides guidance or directions on how to properly use, operate, or handle another entity.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:58 p.m.