Triple
T173161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All About Eve |
E3519
|
entity |
| Predicate | oscarRecord |
P6105
|
FINISHED |
| Object | first film to receive 14 Academy Award nominations |
—
|
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: first film to receive 14 Academy Award nominations | Statement: [All About Eve, oscarRecord, first film to receive 14 Academy Award nominations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarRecord Context triple: [All About Eve, oscarRecord, first film to receive 14 Academy Award nominations]
-
A.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
B.
goldenSpikesAwardYear
Indicates the year in which a Golden Spikes Award was given or associated with a particular recipient or event.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
E.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69a25737f9188190b9690dce98aed83a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.