Triple
T26742509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 86th NAACP Image Awards (director) |
E674300
|
entity |
| Predicate | awardShowHonors |
P164472
|
FINISHED |
| Object | outstanding achievements by people of color |
—
|
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 achievements by people of color | Statement: [The 86th NAACP Image Awards (director), awardShowHonors, outstanding achievements by people of color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardShowHonors Context triple: [The 86th NAACP Image Awards (director), awardShowHonors, outstanding achievements by people of color]
-
A.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
B.
awardIncludes
Indicates that a particular award encompasses, contains, or is composed of the specified component, category, or sub-award.
-
C.
awardShowType
Indicates the specific category or kind of award show associated with an entity.
-
D.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
E.
occasionOfAwards
chosen
Indicates that an event or circumstance serves as the context or setting in which certain awards are given or presented.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 27, 2026, 3:50 a.m.