Triple
T30872685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A History of Violence |
E786384
|
entity |
| Predicate | academyAwardAdaptedScreenplayNominee |
P76768
|
FINISHED |
| Object | Josh Olson |
—
|
NE NERFINISHED |
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: Josh Olson | Statement: [A History of Violence, academyAwardAdaptedScreenplayNominee, Josh Olson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardAdaptedScreenplayNominee Context triple: [A History of Violence, academyAwardAdaptedScreenplayNominee, Josh Olson]
-
A.
academyAwardForBestWritingScreenplay
Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
-
B.
bestAdaptedScreenplayWinner
Indicates that the subject is the work or person that won the award for Best Adapted Screenplay in a given context or event.
-
C.
screenplayAwardedTo
Indicates that a screenplay-related award has been given to a particular recipient.
-
D.
screenplayAwardedBy
Indicates that a screenplay has received an award from a particular awarding body or organization.
-
E.
screenplayNominatedWriters
chosen
Indicates that the specified writers were nominated for an award for their work on the screenplay of the given film or production.
- 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_69f224b9df2c819086f55f8bcf7f382e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:48 p.m.