Triple
T3419382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spotify |
E72081
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Martin Lorentzon
Martin Lorentzon is a Swedish entrepreneur best known as the co-founder of the music streaming service Spotify.
|
E357586
|
NE FINISHED |
How this triple was built (4 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 Lorentzon | Statement: [Spotify, founder, Martin Lorentzon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Lorentzon Context triple: [Spotify, founder, Martin Lorentzon]
-
A.
Nicklas Bäckström
Nicklas Bäckström is a Swedish professional ice hockey center renowned as one of the NHL’s premier playmakers and a longtime cornerstone of the Washington Capitals.
-
B.
Niklas Bäckström
Niklas Bäckström is a retired Finnish professional ice hockey goaltender best known for his long NHL career with the Minnesota Wild.
-
C.
Kristian Bäckström
Kristian Bäckström is a person notable enough to be recognized as a bearer of the Swedish surname Bäckström.
-
D.
Bo Sundqvist
Bo Sundqvist is a Swedish physicist and academic who served as rector (vice-chancellor) of Uppsala University.
-
E.
Lars Bäckström
Lars Bäckström is a Swedish politician known for his long-standing involvement in left-wing politics and public service in Sweden.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martin Lorentzon Triple: [Spotify, founder, Martin Lorentzon]
Generated description
Martin Lorentzon is a Swedish entrepreneur best known as the co-founder of the music streaming service Spotify.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martin Lorentzon Target entity description: Martin Lorentzon is a Swedish entrepreneur best known as the co-founder of the music streaming service Spotify.
-
A.
Nicklas Bäckström
Nicklas Bäckström is a Swedish professional ice hockey center renowned as one of the NHL’s premier playmakers and a longtime cornerstone of the Washington Capitals.
-
B.
Niklas Bäckström
Niklas Bäckström is a retired Finnish professional ice hockey goaltender best known for his long NHL career with the Minnesota Wild.
-
C.
Kristian Bäckström
Kristian Bäckström is a person notable enough to be recognized as a bearer of the Swedish surname Bäckström.
-
D.
Bo Sundqvist
Bo Sundqvist is a Swedish physicist and academic who served as rector (vice-chancellor) of Uppsala University.
-
E.
Lars Bäckström
Lars Bäckström is a Swedish politician known for his long-standing involvement in left-wing politics and public service in Sweden.
- F. None of above. chosen
Provenance (5 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_69ad85ad38e48190b7660c5118a35289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb94d6808819080997df30119e71e |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b354701e908190a8a7f14ae578fa5d |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b358c7970881909b20126ba170495d |
completed | March 13, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b35930c3808190a3d9cbc69a26a1c1 |
completed | March 13, 2026, 12:24 a.m. |
Created at: March 8, 2026, 3:15 p.m.