Triple
T34891516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network |
E1006299
|
entity |
| Predicate | oscarWinningActress |
P12610
|
FINISHED |
| Object | Faye Dunaway |
—
|
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: Faye Dunaway | Statement: [Network, oscarWinningActress, Faye Dunaway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarWinningActress Context triple: [Network, oscarWinningActress, Faye Dunaway]
-
A.
academyAwardForBestActress
chosen
Indicates that an entity received the Academy Award for Best Actress in a leading role.
-
B.
numberOfAcademyAwardsForBestActress
Indicates the total count of Academy Awards received by an entity specifically in the Best Actress category.
-
C.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
D.
academyAwardWinningPerformances
Indicates that the performances in question have won an Academy Award (Oscar) for acting.
-
E.
leadActorOfWinningFilm
Indicates that a person is the lead actor in a film that has won a specified award or competition.
- 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_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4 p.m.