Triple
T11313724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando |
E267907
|
entity |
| Predicate | originalTitleLanguageVersion |
P5477
|
FINISHED |
| Object | Swedish version sung by Anni-Frid Lyngstad |
—
|
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: Swedish version sung by Anni-Frid Lyngstad | Statement: [Fernando, originalTitleLanguageVersion, Swedish version sung by Anni-Frid Lyngstad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTitleLanguageVersion Context triple: [Fernando, originalTitleLanguageVersion, Swedish version sung by Anni-Frid Lyngstad]
-
A.
originalTitleLanguage
Indicates the language in which a work’s original title was written or expressed.
-
B.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
C.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
-
D.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
-
E.
originalPublicationLanguageVariant
chosen
Indicates that one language is a specific variant or version of the language in which a work was originally published.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.