Triple
T28592226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDowell |
E723681
|
entity |
| Predicate | MacDowellMedalFor |
P107
|
FINISHED |
| Object | outstanding contributions to the arts |
—
|
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: outstanding contributions to the arts | Statement: [MacDowell, MacDowellMedalFor, outstanding contributions to the arts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MacDowellMedalFor Context triple: [MacDowell, MacDowellMedalFor, outstanding contributions to the arts]
-
A.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
B.
SomersetMaughamAwardFor
Indicates that an entity is the work or achievement for which the Somerset Maugham Award is given.
-
C.
PulitzerPrizeForDramaFor
Indicates that a work or creator has been awarded the Pulitzer Prize specifically in the Drama category for that work.
-
D.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
E.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:20 a.m.