Triple
T943273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Wisdom |
E20353
|
entity |
| Predicate | scholarlyAuthorship |
P7062
|
FINISHED |
| Object | anonymous Hellenistic Jewish 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: anonymous Hellenistic Jewish author | Statement: [Book of Wisdom, scholarlyAuthorship, anonymous Hellenistic Jewish author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scholarlyAuthorship Context triple: [Book of Wisdom, scholarlyAuthorship, anonymous Hellenistic Jewish author]
-
A.
scholarlyUse
Indicates that something is used for academic, educational, or research-related purposes.
-
B.
authorshipStatus
chosen
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).
-
C.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
D.
partOfAuthorBibliography
Indicates that a work is included in the set of publications that make up an author's bibliography.
-
E.
hasAuthorAffiliationAtTimeOfPublication
Indicates that an author was affiliated with a particular organization or institution at the time a work was published.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3a2b1ec8190a2753ad3b3e8cc7a |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b29dc8dc8190b9d33f70f8563d61 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.