Triple
T35389148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | He Makes Me Feel Like Dancin' |
E1022875
|
entity |
| Predicate | academyAwardsCategoryWon |
P37391
|
FINISHED |
| Object | Best Documentary Short Subject |
—
|
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: Best Documentary Short Subject | Statement: [He Makes Me Feel Like Dancin', academyAwardsCategoryWon, Best Documentary Short Subject]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardsCategoryWon Context triple: [He Makes Me Feel Like Dancin', academyAwardsCategoryWon, Best Documentary Short Subject]
-
A.
oscarCategoryWon
chosen
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
B.
emmyCategoryWon
Indicates that an entity has won an Emmy award in a specified category.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
E.
filmWonAcademyAwardFor
Indicates that a film received an Academy Award (Oscar) in a specified category or for a particular achievement.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794fa47048190b1605b16eb1bca4c |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.