Triple
T31365402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Oh So Quiet |
E799994
|
entity |
| Predicate | adaptedIntoEnglishBy |
P42571
|
FINISHED |
| Object | Bert Reisfeld |
—
|
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: Bert Reisfeld | Statement: [It's Oh So Quiet, adaptedIntoEnglishBy, Bert Reisfeld]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedIntoEnglishBy Context triple: [It's Oh So Quiet, adaptedIntoEnglishBy, Bert Reisfeld]
-
A.
adaptedInLanguage
Indicates that a work or content has been modified or translated so it can be presented or understood in a specified language.
-
B.
adaptedForFilmBy
Indicates that a work has been turned into a film by a particular person or entity responsible for the adaptation.
-
C.
adaptedAuthor
Indicates that one entity is the author whose work has been adapted by another entity (e.g., into a different medium or format).
-
D.
adaptationBy
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
E.
contributorToEnglishEdition
chosen
Indicates that an entity contributed in some capacity to the creation, adaptation, or production of the English edition of a work.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 9:18 p.m.