Triple
T8423719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrasyllan tetralogies |
E198923
|
entity |
| Predicate | hasUncertainAuthorship |
P56607
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Thrasyllan tetralogies, hasUncertainAuthorship, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainAuthorship Context triple: [Thrasyllan tetralogies, hasUncertainAuthorship, true]
-
A.
hasUnknownAuthor
chosen
Indicates that the author of the entity is not known or cannot be identified.
-
B.
hasUncertainOrigin
Indicates that the origin or source of an entity, event, or information is unknown, unclear, or not reliably established.
-
C.
hasUncertainHistoricBasis
Indicates that the historical foundation or authenticity of the related fact, event, or relationship is doubtful, disputed, or not firmly established.
-
D.
hasUncertainBiographicalDetails
Indicates that the biographical information about an entity is incomplete, ambiguous, or not reliably established.
-
E.
probableAuthorOf
Indicates that an entity is likely, but not certainly, the author or creator 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb859f787481908a11797a317c8849 |
completed | March 31, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69cb70d70ea081909c3dc1bd2ec14f85 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:07 p.m.