Triple
T37615037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Ann Day Brown |
E935895
|
entity |
| Predicate | marriedToAbolitionistLeader |
P73630
|
FINISHED |
| Object | John Brown |
—
|
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 Brown | Statement: [Mary Ann Day Brown, marriedToAbolitionistLeader, John Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToAbolitionistLeader Context triple: [Mary Ann Day Brown, marriedToAbolitionistLeader, John Brown]
-
A.
marriedToAbolitionist
chosen
Indicates that a person is married to someone who is an abolitionist.
-
B.
marriedToCivilRightsLeader
Indicates that one person is the spouse of an individual recognized as a civil rights leader.
-
C.
marriedToPresidentOf
Indicates that one person is married to another person who holds the office of president of a specified country or organization.
-
D.
marriedToFuturePresident
Indicates being married to someone who will later become president.
-
E.
marriedToAFormerFirstLadyOfTheUnitedStates
Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:18 p.m.