Triple
T2469970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newburgh Letters |
E55345
|
entity |
| Predicate | authorshipStatusAtTime |
P7062
|
FINISHED |
| Object | anonymous |
—
|
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 | Statement: [Newburgh Letters, authorshipStatusAtTime, anonymous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorshipStatusAtTime Context triple: [Newburgh Letters, authorshipStatusAtTime, anonymous]
-
A.
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).
-
B.
authorshipEvidence
Indicates evidence or justification supporting a claim that one entity is the author or creator of another.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorAffiliationAtTimeOfPublication
Indicates that an author was affiliated with a particular organization or institution at the time a work was published.
-
E.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.