Triple
T29827162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother of the Revolution |
E757411
|
entity |
| Predicate | refersToAwardRecipient |
P67364
|
FINISHED |
| Object | Nobel Peace Prize laureate |
—
|
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: Nobel Peace Prize laureate | Statement: [Mother of the Revolution, refersToAwardRecipient, Nobel Peace Prize laureate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToAwardRecipient Context triple: [Mother of the Revolution, refersToAwardRecipient, Nobel Peace Prize laureate]
-
A.
coRecipientOfAward
Indicates that two or more entities jointly received the same award.
-
B.
associatedWithAwardRecipient
chosen
Indicates a relationship where an entity is connected to or linked with the recipient of a specific award.
-
C.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 29, 2026, 5:32 p.m.