Triple
T1784466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Jackson |
E39358
|
entity |
| Predicate | spouseNotableBattlefieldRole |
P19181
|
FINISHED |
| Object | Confederate leadership |
—
|
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: Confederate leadership | Statement: [Anna Jackson, spouseNotableBattlefieldRole, Confederate leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNotableBattlefieldRole Context triple: [Anna Jackson, spouseNotableBattlefieldRole, Confederate leadership]
-
A.
spouseSideInAmericanCivilWar
Indicates the side or faction a person’s spouse supported or belonged to during the American Civil War.
-
B.
spouseNotableFor
chosen
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
C.
notableBattleRole
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
D.
spouseNotableWorkField
Indicates that the notable work or professional field associated with a person’s spouse is being specified.
-
E.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.