Triple
T15624987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Station |
E375655
|
entity |
| Predicate | goldenGlobeNominationFor |
P14419
|
FINISHED |
| Object | Best Actress in a 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 Actress in a Motion Picture – Drama | Statement: [The Last Station, goldenGlobeNominationFor, Best Actress in a Motion Picture – Drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldenGlobeNominationFor Context triple: [The Last Station, goldenGlobeNominationFor, Best Actress in a 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.
hasWonGoldenGlobe
Indicates that the subject has received at least one Golden Globe award.
-
D.
nominatedIn
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.