Triple
T35767749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Kinzie Gordon |
E1034066
|
entity |
| Predicate | residenceDuringYouth |
P27131
|
FINISHED |
| Object | Chicago |
—
|
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: Chicago | Statement: [Eleanor Kinzie Gordon, residenceDuringYouth, Chicago]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringYouth Context triple: [Eleanor Kinzie Gordon, residenceDuringYouth, Chicago]
-
A.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
B.
placeOfUpbringing
chosen
Indicates the location where an individual was raised or spent most of their formative years.
-
C.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
D.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
E.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
- 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.