Triple
T25038270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSA Medals and Awards |
E627039
|
entity |
| Predicate | notableRecipientOfSubaward |
P108
|
FINISHED |
| Object | Nelson Mandela (RSA Albert Medal recipient) |
—
|
NE NERFINISHED |
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: Nelson Mandela (RSA Albert Medal recipient) | Statement: [RSA Medals and Awards, notableRecipientOfSubaward, Nelson Mandela (RSA Albert Medal recipient)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecipientOfSubaward Context triple: [RSA Medals and Awards, notableRecipientOfSubaward, Nelson Mandela (RSA Albert Medal recipient)]
-
A.
notableFieldOfRecipients
Indicates that the recipients are notable or recognized specifically in a particular field or area of expertise.
-
B.
grantsAwardedTo
Indicates that an award or grant is given by one entity to another as a recipient.
-
C.
notableRecipient
chosen
Indicates that an entity has received a notable award, honor, or recognition from another entity.
-
D.
notableRecipientRole
Indicates that an entity has received a notable award, honor, or recognition specifically in the capacity of a particular role or position.
-
E.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 18, 2026, 6:08 a.m.