Triple
T34891517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network |
E1006299
|
entity |
| Predicate | oscarWinningSupportingActress |
P8119
|
FINISHED |
| Object | Beatrice Straight |
—
|
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: Beatrice Straight | Statement: [Network, oscarWinningSupportingActress, Beatrice Straight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarWinningSupportingActress Context triple: [Network, oscarWinningSupportingActress, Beatrice Straight]
-
A.
bestSupportingActressWinner
chosen
Indicates that the subject is the person who won the Best Supporting Actress award for the specified work, year, or event.
-
B.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
-
C.
bestSupportingActressFilm
Indicates the film for which a person received or was nominated for a Best Supporting Actress award.
-
D.
academyAwardForBestSupportingActorYear
Indicates the specific year in which a given Academy Award for Best Supporting Actor was awarded.
-
E.
bestSupportingActorWinner
Indicates that an entity has received the award for Best Supporting Actor for a particular work or event.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f791cc969c8190bf187d6031a030d5 |
completed | May 3, 2026, 6:19 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4 p.m.