Triple
T173163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All About Eve |
E3519
|
entity |
| Predicate | nationalFilmRegistrySelectionYear |
P2671
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [All About Eve, nationalFilmRegistrySelectionYear, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalFilmRegistrySelectionYear Context triple: [All About Eve, nationalFilmRegistrySelectionYear, 1990]
-
A.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
B.
notableDepictionYear
Indicates the year in which a notable or significant depiction of an entity occurred or was created.
-
C.
discoveryYear
Indicates the calendar year in which something was first discovered or identified.
-
D.
awardReceivedYear
chosen
Indicates the specific year in which an entity received a particular award.
-
E.
directorStartYear
Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.