Triple
T25705762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longinus |
E644583
|
entity |
| Predicate | nameTraditionallyGivenTo |
P17611
|
FINISHED |
| Object | author of On the Sublime |
—
|
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: author of On the Sublime | Statement: [Longinus, nameTraditionallyGivenTo, author of On the Sublime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameTraditionallyGivenTo Context triple: [Longinus, nameTraditionallyGivenTo, author of On the Sublime]
-
A.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
B.
hasTraditionalName
chosen
Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
-
C.
nameInWesternTradition
Indicates that an entity’s name is expressed following Western naming conventions, typically with the given name preceding the family name.
-
D.
unitNamesakeOf
Indicates that a particular unit (such as an organization, division, or group) is named in honor of, or derives its name from, a specific entity.
-
E.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc113b40819088a0d53c824097e4 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 9:04 p.m.