Triple
T26445241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Spence |
E665196
|
entity |
| Predicate | co-recipientOfPrizeWith |
P1859
|
FINISHED |
| Object | George Akerlof |
—
|
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: George Akerlof | Statement: [Michael Spence, co-recipientOfPrizeWith, George Akerlof]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: co-recipientOfPrizeWith Context triple: [Michael Spence, co-recipientOfPrizeWith, George Akerlof]
-
A.
sharedNobelPrizeWith
chosen
Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
-
B.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
C.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
D.
namedAfterAwardLaureateOf
Indicates that one entity is named after a person who is a laureate (recipient) of a particular award.
-
E.
receivedAbelPrizeWith
Indicates that two or more entities jointly received the Abel Prize in the same year or for the same recognized work.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:01 a.m.