Triple
T3116802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Thamsanqa Tutu |
E65081
|
entity |
| Predicate | hasRelativeWithAward |
P45440
|
FINISHED |
| Object | Desmond Tutu – Nobel Peace Prize |
—
|
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: Desmond Tutu – Nobel Peace Prize | Statement: [Trevor Thamsanqa Tutu, hasRelativeWithAward, Desmond Tutu – Nobel Peace Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeWithAward Context triple: [Trevor Thamsanqa Tutu, hasRelativeWithAward, Desmond Tutu – Nobel Peace Prize]
-
A.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
hasSubsequentAward
Indicates that an entity has received an additional award that follows a previous award in time or sequence.
-
D.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
-
E.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.