Triple
T16204078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evelyn Williams McKissick |
E393277
|
entity |
| Predicate | marriedToCivilRightsLeader |
P122147
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Evelyn Williams McKissick, marriedToCivilRightsLeader, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToCivilRightsLeader Context triple: [Evelyn Williams McKissick, marriedToCivilRightsLeader, true]
-
A.
marriedToAbolitionist
Indicates that a person is married to someone who is an abolitionist.
-
B.
marriedToAFormerFirstLadyOfTheUnitedStates
Indicates that a person is or was married to someone who previously held the role of First Lady of the United States.
-
C.
marriedToJusticeOf
Indicates that a person is legally married to a specific justice (such as a judge or judicial officer).
-
D.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
E.
spouseOfNotableEvent
Indicates a marital relationship where one spouse is a notable event or is contextually defined through association with a notable event.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270ca18c8190a259992aed4ec072 |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.