Triple
T17678627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar Award for Best Motion Picture Screenplay (nomination) |
E440706
|
entity |
| Predicate | hasNomineeWorkType |
P110911
|
FINISHED |
| Object | feature film screenplay |
—
|
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: feature film screenplay | Statement: [Edgar Award for Best Motion Picture Screenplay (nomination), hasNomineeWorkType, feature film screenplay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNomineeWorkType Context triple: [Edgar Award for Best Motion Picture Screenplay (nomination), hasNomineeWorkType, feature film screenplay]
-
A.
hasNomineeType
Indicates that an entity has a nominee belonging to a specified type or category.
-
B.
nominatedWorkType
chosen
Indicates the type or category of work for which an entity has been nominated.
-
C.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
D.
nominatedWork
Indicates that a particular work (such as a book, film, or artwork) has been put forward as a candidate for an award, honor, or recognition.
-
E.
hasNomineeRole
Indicates that an entity serves in or holds a specific nominee role or position in relation to another entity.
- 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6f8054819087b2fe9bc8ad8d2f |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:01 a.m.