Triple
T35767748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Kinzie Gordon |
E1034066
|
entity |
| Predicate | residenceDuringAdulthood |
P34568
|
FINISHED |
| Object | Savannah, Georgia |
—
|
NE NERFINISHED |
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: Savannah, Georgia | Statement: [Eleanor Kinzie Gordon, residenceDuringAdulthood, Savannah, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringAdulthood Context triple: [Eleanor Kinzie Gordon, residenceDuringAdulthood, Savannah, Georgia]
-
A.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
B.
residenceDuringLife
chosen
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
C.
namedAfterResidenceOf
Indicates that one entity is named after the place where another entity lives or has lived.
-
D.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
E.
intendedResidence
Indicates that one entity is designated or planned to serve as the place where another entity will live or reside.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1c8ddc881909696006612f2a8c4 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.