Triple
T207000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollodorus' Bibliotheca |
E4630
|
entity |
| Predicate | modernScholarlyAttribution |
P3464
|
FINISHED |
| Object | unknown author |
—
|
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: unknown author | Statement: [Apollodorus' Bibliotheca, modernScholarlyAttribution, unknown author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernScholarlyAttribution Context triple: [Apollodorus' Bibliotheca, modernScholarlyAttribution, unknown author]
-
A.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
B.
scholarlyView
chosen
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
C.
traditionalAuthorship
Indicates that an entity is recognized as the conventional or historically accepted author of a work, according to traditional attribution.
-
D.
authorshipStatus
Indicates the current state or condition of an entity’s role as an author in relation to a work (e.g., confirmed, disputed, anonymous, or pending).
-
E.
traditionalAttribution
Indicates that something is credited or assigned to a source (such as an author, creator, or origin) according to long-standing or customary belief rather than definitive evidence.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b4c7f908190876c1041db52dffc |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.