Triple
T11036154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Ulvaeus |
E260890
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ulvaeus |
E260890
|
NE 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: Ulvaeus | Statement: [Björn Ulvaeus, familyName, Ulvaeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulvaeus Context triple: [Björn Ulvaeus, familyName, Ulvaeus]
-
A.
Ulvaeus
chosen
Ulvaeus is the surname of Björn Ulvaeus, the Swedish musician, songwriter, and member of the pop group ABBA.
-
B.
Henrik Jonback
Henrik Jonback is a Swedish songwriter and producer best known for his work on major pop hits, including Britney Spears’ “Toxic.”
-
C.
Carl Venth
Carl Venth was a German-born American violinist, composer, and conductor who became an influential music educator and orchestral leader in the United States.
-
D.
Mikael Andersson
Mikael Andersson is a Swedish ice hockey player best known for his significant contributions to the Malmö Redhawks organization.
-
E.
Carl Lindström
Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.