Triple
T15918831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska (film) |
E386039
|
entity |
| Predicate | writersGuildOfAmericaNomination |
P25539
|
FINISHED |
| Object | Best Original 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: Best Original Screenplay | Statement: [Nebraska (film), writersGuildOfAmericaNomination, Best Original Screenplay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writersGuildOfAmericaNomination Context triple: [Nebraska (film), writersGuildOfAmericaNomination, Best Original Screenplay]
-
A.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
-
B.
screenplayNominatedWriters
Indicates that the specified writers were nominated for an award for their work on the screenplay of the given film or production.
-
C.
screenActorsGuildAwardNominationFor
Indicates that an entity received a nomination for a Screen Actors Guild Award for a particular work or performance.
-
D.
awardNominator
Indicates that one entity is the person or organization that nominated another entity for an award.
-
E.
nominatedWork
chosen
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.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.