Triple
T27085223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Jane C. Skaden |
E686018
|
entity |
| Predicate | spousePoliticalBase |
P175627
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Mary Jane C. Skaden, spousePoliticalBase, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spousePoliticalBase Context triple: [Mary Jane C. Skaden, spousePoliticalBase, New York City]
-
A.
spousePoliticalAlignment
Indicates that two individuals are spouses and specifies the political alignment or affiliation associated with that spousal relationship.
-
B.
spousePoliticalContext
Indicates that there is a political or politically relevant relationship, role, or context involving a person’s spouse in connection with the subject entity.
-
C.
spousePoliticalActivity
Indicates that one person’s spouse engages in political actions, involvement, or advocacy connected to that person or their role.
-
D.
spousePoliticalMovement
Indicates that the political movement is one with which the spouse of the subject is affiliated or identified.
-
E.
spouseOffice
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 27, 2026, 8:37 a.m.