Triple
T20478439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Accidental Tourist |
E502383
|
entity |
| Predicate | goldenGlobe |
P14419
|
FINISHED |
| Object | Golden Globe nomination for 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: Golden Globe nomination for Best Motion Picture – Drama | Statement: [The Accidental Tourist, goldenGlobe, Golden Globe nomination for Best Motion Picture – Drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenGlobe Context triple: [The Accidental Tourist, goldenGlobe, Golden Globe nomination for Best Motion Picture – Drama]
-
A.
goldenGlobeNomination
chosen
Indicates that an entity received a nomination for a Golden Globe award.
-
B.
goldenGlobeAwardFor
Indicates that an entity has received a Golden Globe Award for a specified work, role, or achievement.
-
C.
goldenGlobesCeremony
Indicates that an entity is a specific Golden Globe Awards ceremony event, typically associated with a particular year or edition.
-
D.
goldenGlobeYear
Indicates the specific year in which a Golden Globe award or nomination associated with an entity took place.
-
E.
hasWonGoldenGlobe
Indicates that the subject has received at least one Golden Globe award.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:34 a.m.