Triple
T11952139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historia Augusta |
E284450
|
entity |
| Predicate | numberOfAttributedAuthors |
P19415
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Historia Augusta, numberOfAttributedAuthors, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAttributedAuthors Context triple: [Historia Augusta, numberOfAttributedAuthors, 6]
-
A.
numberOfAuthors
chosen
Indicates the count of distinct authors associated with a given work or entity.
-
B.
eligibleAuthors
Indicates that certain authors meet the required conditions or criteria to qualify for a specified role, status, or action.
-
C.
authorMentionedBy
Indicates that a given author is referenced or cited by another entity (such as a document, work, or person).
-
D.
pontificateNumberOfAuthor
Indicates that an entity is associated with a specific number of authors who pontificate or expound on it.
-
E.
targetAuthors
Indicates that certain authors are the intended or designated recipients, subjects, or focus of an action or operation.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.