Triple
T8446240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poe Cottage, Fordham, New York, United States |
E199683
|
entity |
| Predicate | PoeLivedWith |
P83405
|
FINISHED |
| Object | his wife Virginia Clemm Poe |
—
|
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: his wife Virginia Clemm Poe | Statement: [Poe Cottage, Fordham, New York, United States, PoeLivedWith, his wife Virginia Clemm Poe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PoeLivedWith Context triple: [Poe Cottage, Fordham, New York, United States, PoeLivedWith, his wife Virginia Clemm Poe]
-
A.
associatedWithPoem
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
B.
usedByPoet
Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
-
C.
isPosthumousWorkOf
Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
-
D.
livedBefore
Indicates that one entity existed or was alive at an earlier time than another entity.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3152a3c819092efdeab718def7a |
completed | March 31, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:09 p.m.