Triple
T21760070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibanez guitars |
E537138
|
entity |
| Predicate | hasSignatureModelFor |
P91561
|
FINISHED |
| Object | Mårten Hagström |
—
|
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: Mårten Hagström | Statement: [Ibanez guitars, hasSignatureModelFor, Mårten Hagström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mårten Hagström Context triple: [Ibanez guitars, hasSignatureModelFor, Mårten Hagström]
-
A.
Mårten Hagström
chosen
Mårten Hagström is a Swedish guitarist best known as a key member and songwriter of the pioneering extreme metal band Meshuggah.
-
B.
Gunnar Edström
Gunnar Edström is a notable individual recognized for bearing the Swedish surname Edström.
-
C.
Göran Månsson
Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
-
D.
Edvin Öhrström
Edvin Öhrström was a Swedish sculptor and glass artist renowned for his innovative public artworks and contributions to modern Scandinavian glass design.
-
E.
Johan Söderqvist
Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d90eaa081909fce0549a9df1bf0 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.