Triple
T9965287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burton's Gentleman's Magazine |
E195667
|
entity |
| Predicate | roleOfEdgarAllanPoe |
P91697
|
FINISHED |
| Object | editor |
—
|
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: editor | Statement: [Burton's Gentleman's Magazine, roleOfEdgarAllanPoe, editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfEdgarAllanPoe Context triple: [Burton's Gentleman's Magazine, roleOfEdgarAllanPoe, editor]
-
A.
roleInKeatsLife
Indicates the specific role or relationship an entity had in the life of Keats.
-
B.
PoeLivedWith
Indicates that one person and Edgar Allan Poe resided together in the same household or dwelling for a period of time.
-
C.
characterizesPoetAs
Indicates that one entity portrays, defines, or describes a poet in terms of particular qualities, roles, or attributes.
-
D.
literaryRole
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
E.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd36f112bc81908b473787e702de2f |
completed | April 1, 2026, 3:17 p.m. |
Created at: March 30, 2026, 8:47 p.m.