Triple
T29288717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Morrison |
E742599
|
entity |
| Predicate | partnerInPublicLifeWith |
P172387
|
FINISHED |
| Object | John F. Shafroth |
—
|
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: John F. Shafroth | Statement: [Virginia Morrison, partnerInPublicLifeWith, John F. Shafroth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInPublicLifeWith Context triple: [Virginia Morrison, partnerInPublicLifeWith, John F. Shafroth]
-
A.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
-
B.
partnerInPolitics
Indicates that two entities are political partners, collaborating or aligned in political activities, campaigns, or governance.
-
C.
partnerInActivismWith
Indicates that two entities collaborate or are closely associated with each other in activism or social/political advocacy efforts.
-
D.
partnerInGovernmentWith
Indicates that two entities share a formal partnership or coalition role within the same governmental structure or administration.
-
E.
partnerInLifeAndPracticeWith
Indicates a relationship where two individuals are both life partners and professional collaborators in their work or practice.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 28, 2026, 1 p.m.