Triple
T33966061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (as producer of All Quiet on the Western Front) |
E870855
|
entity |
| Predicate | awardEdition |
P113608
|
FINISHED |
| Object | 95th Academy Awards |
—
|
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: 95th Academy Awards | Statement: [Academy Award for Best Picture (as producer of All Quiet on the Western Front), awardEdition, 95th Academy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardEdition Context triple: [Academy Award for Best Picture (as producer of All Quiet on the Western Front), awardEdition, 95th Academy Awards]
-
A.
awardEditionOf
chosen
Indicates that one entity is a specific edition or iteration of an award associated with another entity.
-
B.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
C.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
D.
awardName
Indicates the specific name or title of an award associated with an entity.
-
E.
awardEvent
Indicates an event in which an award is formally given or presented to a recipient.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 1, 2026, 1:50 a.m.