Triple
T32647306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 73rd Golden Globe Awards |
E834628
|
entity |
| Predicate | bestActressTelevisionSeriesMusicalOrComedy |
P8116
|
FINISHED |
| Object | Rachel Bloom |
—
|
NE NERFINISHED |
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: Rachel Bloom | Statement: [73rd Golden Globe Awards, bestActressTelevisionSeriesMusicalOrComedy, Rachel Bloom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestActressTelevisionSeriesMusicalOrComedy Context triple: [73rd Golden Globe Awards, bestActressTelevisionSeriesMusicalOrComedy, Rachel Bloom]
-
A.
bestActressTelevisionSeriesDramaWork
Indicates that a work is the performance or role for which someone received the Best Actress in a Television Series – Drama award.
-
B.
bestTelevisionSeriesMusicalOrComedyWinner
Indicates that the subject is the winner of an award for Best Television Series in the Musical or Comedy category.
-
C.
bestActressMotionPictureMusicalOrComedyWork
Indicates that a work received the Golden Globe award for Best Actress in a Motion Picture – Musical or Comedy.
-
D.
bestActressWinner
chosen
Indicates that the subject has won the Best Actress award in a given competition or context.
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:07 a.m.