Triple
T36515529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbula |
E900026
|
entity |
| Predicate | originallyDescribed |
P25254
|
FINISHED |
| Object | a bearded or slightly bearded man |
—
|
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: a bearded or slightly bearded man | Statement: [Barbula, originallyDescribed, a bearded or slightly bearded man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyDescribed Context triple: [Barbula, originallyDescribed, a bearded or slightly bearded man]
-
A.
firstDescribedAs
chosen
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
B.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
C.
firstDescribedAsGenusBy
Indicates that one entity was the first to formally describe another entity as a genus in a taxonomic or scientific context.
-
D.
originallyFormulatedIn
Indicates that something (such as a theory, idea, or work) was first created, expressed, or formally stated in a particular place or time.
-
E.
describesOriginOf
Indicates that one entity specifies or explains the source, provenance, or origin of 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.