Triple
T9208972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe television acting awards |
E221061
|
entity |
| Predicate | hasSeparateDramaAndComedyCategories |
P86984
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Golden Globe television acting awards, hasSeparateDramaAndComedyCategories, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparateDramaAndComedyCategories Context triple: [Golden Globe television acting awards, hasSeparateDramaAndComedyCategories, true]
-
A.
alternateSeriesClassification
Indicates that a series is assigned an additional or non-primary classification distinct from its main series classification.
-
B.
hasComedyElements
Indicates that something contains humorous or comedic aspects as part of its overall content or style.
-
C.
dramaType
Indicates the specific category or genre of drama that characterizes an entity or work.
-
D.
hasStageGenre
Indicates a relationship where a stage production or performance is associated with a particular theatrical or performance genre.
-
E.
combinesGenre
Indicates that an entity integrates or merges multiple genres into a single combined form or work.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6745c17881908df72443e0800068 |
completed | April 1, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:26 p.m.