Triple
T26954701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 149th NAACP Image Awards (director) |
E678866
|
entity |
| Predicate | hasAwardCategoryDomain |
P157015
|
FINISHED |
| Object | music |
—
|
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: music | Statement: [The 149th NAACP Image Awards (director), hasAwardCategoryDomain, music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardCategoryDomain Context triple: [The 149th NAACP Image Awards (director), hasAwardCategoryDomain, music]
-
A.
hasAwardCategoryWithin
Indicates that an award belongs to or is classified under a specific award category within a broader award system or hierarchy.
-
B.
hasCategoryWithinSameAwards
Indicates that two awards share at least one category within the same award event or series.
-
C.
hasAwardField
chosen
Indicates that an entity’s award is associated with or categorized under a particular field or domain.
-
D.
hasAwardConnection
Indicates a relationship where an entity is connected to an award, such as by receiving, being nominated for, or otherwise associated with that award.
-
E.
hasAwardUnit
Indicates that an award is associated with, measured in, or granted in terms of a specific unit (such as a quantity, category, or subdivision).
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 6:26 a.m.