Triple
T32778374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Kilbourne |
E838281
|
entity |
| Predicate | marriagePartnerMetOnSetOf |
P192439
|
FINISHED |
| Object | North and South |
—
|
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: North and South | Statement: [Wendy Kilbourne, marriagePartnerMetOnSetOf, North and South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriagePartnerMetOnSetOf Context triple: [Wendy Kilbourne, marriagePartnerMetOnSetOf, North and South]
-
A.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
B.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
C.
parentsMarriedAt
Indicates that the parents of the given entity were married at the specified time or date.
-
D.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
-
E.
marriageLocation
Indicates the place where a marriage ceremony or legal union between two people took place.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: May 1, 2026, 1:13 a.m.