Triple
T9112818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graham Moore |
E218642
|
entity |
| Predicate | awardYear_AcademyAwardForBestAdaptedScreenplay |
P10677
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Graham Moore, awardYear_AcademyAwardForBestAdaptedScreenplay, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardYear_AcademyAwardForBestAdaptedScreenplay Context triple: [Graham Moore, awardYear_AcademyAwardForBestAdaptedScreenplay, 2015]
-
A.
academyAwardForBestWritingScreenplay
Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
-
B.
bestAdaptedScreenplayWinner
chosen
Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
-
C.
bestStoryAndScreenplayMusicalOrComedyWinner
Indicates that the subject is the winner of the award for best story and screenplay in the musical or comedy category.
-
D.
screenplayAwardedBy
Indicates that a screenplay has received an award from a particular awarding body or organization.
-
E.
bestOriginalScreenplayWinner
Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.