Triple
T28316073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Unmarried Woman |
E717137
|
entity |
| Predicate | screenplayOscarCategory |
P28066
|
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: [An Unmarried Woman, screenplayOscarCategory, Best Original Screenplay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenplayOscarCategory Context triple: [An Unmarried Woman, screenplayOscarCategory, Best Original Screenplay]
-
A.
screenplayAwardedBy
Indicates that a screenplay has received an award from a particular awarding body or organization.
-
B.
screenplayAwardedTo
Indicates that a screenplay-related award has been given to a particular recipient.
-
C.
isOscarCategory
chosen
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
D.
academyAwardForBestWritingScreenplay
Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
-
E.
bestStoryAndScreenplayMusicalOrComedyWinner
Indicates that the subject is the winner of the award for best story and screenplay in the musical or comedy category.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 12:20 a.m.