Triple
T3926727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President’s Award |
E93292
|
entity |
| Predicate | awardedForImpactOn |
P11126
|
FINISHED |
| Object | African American community |
—
|
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: African American community | Statement: [President’s Award, awardedForImpactOn, African American community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForImpactOn Context triple: [President’s Award, awardedForImpactOn, African American community]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
C.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
E.
awardScope
chosen
Indicates the extent, domain, or coverage that an award applies to within a given context.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed80a1e48190aa39748b9db42701 |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.