Triple
T31111993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The End of the World in Four Seasons |
E792972
|
entity |
| Predicate | editorAward |
P107303
|
FINISHED |
| Object | Academy Award-winning editor Margaret Sixel |
—
|
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: Academy Award-winning editor Margaret Sixel | Statement: [The End of the World in Four Seasons, editorAward, Academy Award-winning editor Margaret Sixel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorAward Context triple: [The End of the World in Four Seasons, editorAward, Academy Award-winning editor Margaret Sixel]
-
A.
awardEditionOf
Indicates that one entity is a specific edition or iteration of an award associated with another entity.
-
B.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
C.
editorOfWork
chosen
Indicates that one entity serves as the editor responsible for preparing, revising, or overseeing the content of a particular work.
-
D.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
E.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.