Triple
T12093156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Calfan |
E287998
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Martin Solveig |
E698111
|
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: Martin Solveig | Statement: [Michael Calfan, associatedAct, Martin Solveig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Solveig Context triple: [Michael Calfan, associatedAct, Martin Solveig]
-
A.
Martin Solveig
chosen
Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
-
B.
Anette Brifalk
Anette Brifalk is known as the wife of Swedish politician and former Liberal Party leader Jan Björklund.
-
C.
Maren Svarstad
Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
-
D.
Anne Borg
Anne Borg is a Norwegian physicist and academic leader who has served as rector of the Norwegian University of Science and Technology (NTNU).
-
E.
Anette
Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66edf7881908f29b5b40b9d020f |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.