Triple
T110102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleepy Hollow (1999 film) |
E2227
|
entity |
| Predicate | artDirectionOscarCategory |
P1619
|
FINISHED |
| Object | Best Art Direction-Set Decoration |
—
|
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: Best Art Direction-Set Decoration | Statement: [Sleepy Hollow (1999 film), artDirectionOscarCategory, Best Art Direction-Set Decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artDirectionOscarCategory Context triple: [Sleepy Hollow (1999 film), artDirectionOscarCategory, Best Art Direction-Set Decoration]
-
A.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
B.
oscarBestPictureYear
Indicates the year in which a given film received the Academy Award for Best Picture.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
NobelPrizeCategory
Indicates the specific Nobel Prize field or discipline (such as Physics, Literature, or Peace) associated with an award or laureate.
-
E.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258b58efc8190959c86f73d67b744 |
completed | Feb. 28, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69a25641058c8190b5b64509b35d8176 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.