Triple
T4854572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe Award for Best Motion Picture – Musical or Comedy |
E108503
|
entity |
| Predicate | timeOfYearPresented |
P59956
|
FINISHED |
| Object | January |
—
|
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: January | Statement: [Golden Globe Award for Best Motion Picture – Musical or Comedy, timeOfYearPresented, January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfYearPresented Context triple: [Golden Globe Award for Best Motion Picture – Musical or Comedy, timeOfYearPresented, January]
-
A.
timeOfYearPlayed
Indicates the specific time or season of the year during which an event or activity is performed or takes place.
-
B.
typicalStartTimeOfYear
Indicates the usual or characteristic time of year when something typically begins or occurs.
-
C.
phaseOfSeason
Indicates that one temporal segment represents a specific phase or part within a larger season.
-
D.
typicalSeasonTiming
Indicates the usual time period or season during which something normally occurs or is expected to take place.
-
E.
occursInSeasonInNorthernHemisphere
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
- F. None of above. chosen
Provenance (4 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:26 p.m.