Triple
T36720148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Duer Mackay |
E907032
|
entity |
| Predicate | usedStatusFor |
P98
|
FINISHED |
| Object | promoting women's suffrage |
—
|
LITERAL FINISHED |
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: promoting women's suffrage | Statement: [Katherine Duer Mackay, usedStatusFor, promoting women's suffrage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedStatusFor Context triple: [Katherine Duer Mackay, usedStatusFor, promoting women's suffrage]
-
A.
usageStatus
Indicates the current state or condition of how something is being used, such as whether it is active, inactive, available, or in use.
-
B.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
C.
usedForService
Indicates that one entity is employed, utilized, or designated to perform, support, or provide a particular service for another entity.
-
D.
usedLegalStatus
Indicates that one entity applies or relies on the legal status or classification of another entity in a given context.
-
E.
usedPending
Indicates that something is currently in use or allocated but its final status or outcome is still awaiting confirmation or completion.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:12 p.m.