Triple
T1518363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snow White and the Seven Dwarfs |
E32170
|
entity |
| Predicate | honoraryOscarDescription |
P10689
|
FINISHED |
| Object | one full-size Oscar statuette and seven miniature statuettes |
—
|
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: one full-size Oscar statuette and seven miniature statuettes | Statement: [Snow White and the Seven Dwarfs, honoraryOscarDescription, one full-size Oscar statuette and seven miniature statuettes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryOscarDescription Context triple: [Snow White and the Seven Dwarfs, honoraryOscarDescription, one full-size Oscar statuette and seven miniature statuettes]
-
A.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
-
B.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
C.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
-
D.
oscarAward
chosen
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
E.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.