Triple
T10505918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graça Simbine |
E247785
|
entity |
| Predicate | marriageToNelsonMandelaStart |
P67588
|
FINISHED |
| Object | 1998-07-18 |
—
|
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: 1998-07-18 | Statement: [Graça Simbine, marriageToNelsonMandelaStart, 1998-07-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToNelsonMandelaStart Context triple: [Graça Simbine, marriageToNelsonMandelaStart, 1998-07-18]
-
A.
endTime_spouse_NelsonMandela
Indicates the time at which Nelson Mandela’s marital relationship with a spouse ended.
-
B.
marriageToJoelMcAndrewStart
Indicates the time or event when an entity’s marriage to Joel McAndrew begins.
-
C.
endTimeOfMarriageWithMaoZedong
Indicates the date and time at which a person’s marriage to Mao Zedong ended.
-
D.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
E.
spouseOfSince
chosen
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509a07c908190bf0e3e5d480b306d |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.