Triple
T1226294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winnie Mandela |
E26333
|
entity |
| Predicate | startTime_position_DeputyMinister_ACST |
P24716
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Winnie Mandela, startTime_position_DeputyMinister_ACST, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime_position_DeputyMinister_ACST Context triple: [Winnie Mandela, startTime_position_DeputyMinister_ACST, 1994]
-
A.
deputyOf
Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
-
B.
deputyPrimeMinisterStart
Indicates the date or point in time when an individual begins serving in the role of deputy prime minister.
-
C.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
D.
officeStartAsMinisterOfNativeAffairs
Indicates the point in time when an individual begins serving in the role of Minister of Native Affairs.
-
E.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
- 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_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. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.