Triple
T15289104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Billboards Outside Ebbing, Missouri |
E365480
|
entity |
| Predicate | goldenGlobesWon |
P17597
|
FINISHED |
| Object | Best Motion Picture – Drama |
—
|
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 Motion Picture – Drama | Statement: [Three Billboards Outside Ebbing, Missouri, goldenGlobesWon, Best Motion Picture – Drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenGlobesWon Context triple: [Three Billboards Outside Ebbing, Missouri, goldenGlobesWon, Best Motion Picture – Drama]
-
A.
goldenGlobeNomination
Indicates that an entity received a nomination for a Golden Globe award.
-
B.
goldenGlobeAwardFor
chosen
Indicates that an entity has received a Golden Globe Award for a specified work, role, or achievement.
-
C.
hasWonGoldenGlobe
Indicates that the subject has received at least one Golden Globe award.
-
D.
grammyWins
Indicates that an entity has received one or more Grammy Awards as a winner.
-
E.
goldenGlobeYear
Indicates the specific year in which a Golden Globe award or nomination associated with an entity took place.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.