Triple
T1104832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Featured Actor in a Play |
E25464
|
entity |
| Predicate | awardCategoryGender |
P23180
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [Best Featured Actor in a Play, awardCategoryGender, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardCategoryGender Context triple: [Best Featured Actor in a Play, awardCategoryGender, male]
-
A.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
B.
awardName
Indicates the specific name or title of an award associated with an entity.
-
C.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
D.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
E.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
- F. None of above. chosen
Provenance (4 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.