Triple
T1226283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie Mandela |
E26333
|
entity |
| Predicate | startTime_spouse_NelsonMandela |
P14428
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Winnie Mandela, startTime_spouse_NelsonMandela, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime_spouse_NelsonMandela Context triple: [Winnie Mandela, startTime_spouse_NelsonMandela, 1958]
-
A.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
B.
endTimeOfMarriageWithMaoZedong
Indicates the date and time at which a person’s marriage to Mao Zedong ended.
-
C.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
D.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
E.
firstWifeOf
Indicates that one person is the first woman to have been married to another person.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.