Triple
T5028937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deezer |
E113247
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Daniel Marhely
Daniel Marhely is a French tech entrepreneur best known for co-founding the music streaming service Deezer.
|
E487980
|
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: Daniel Marhely | Statement: [Deezer, founder, Daniel Marhely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Marhely Context triple: [Deezer, founder, Daniel Marhely]
-
A.
Marton Csokas
Marton Csokas is a New Zealand actor known for his versatile character roles in international films and television series, including major action and fantasy franchises.
-
B.
Ferenc Dávid
Ferenc Dávid was a 16th-century Transylvanian religious reformer and theologian who became a leading figure of early Unitarianism and a pioneer of religious tolerance in Europe.
-
C.
Andrej Meszároš
Andrej Meszároš is a Slovak professional ice hockey defenceman who has played in the NHL and internationally for the Slovak national team.
-
D.
Daniel Tarschys
Daniel Tarschys is a Swedish political scientist and politician who served as Secretary General of the Council of Europe in the 1990s.
-
E.
Andreas Homoki
Andreas Homoki is a prominent Swiss opera director and cultural manager, known for leading major European opera houses and shaping contemporary opera productions.
- 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: Daniel Marhely Triple: [Deezer, founder, Daniel Marhely]
Generated description
Daniel Marhely is a French tech entrepreneur best known for co-founding the music streaming service Deezer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Marhely Target entity description: Daniel Marhely is a French tech entrepreneur best known for co-founding the music streaming service Deezer.
-
A.
Marton Csokas
Marton Csokas is a New Zealand actor known for his versatile character roles in international films and television series, including major action and fantasy franchises.
-
B.
Ferenc Dávid
Ferenc Dávid was a 16th-century Transylvanian religious reformer and theologian who became a leading figure of early Unitarianism and a pioneer of religious tolerance in Europe.
-
C.
Andrej Meszároš
Andrej Meszároš is a Slovak professional ice hockey defenceman who has played in the NHL and internationally for the Slovak national team.
-
D.
Daniel Tarschys
Daniel Tarschys is a Swedish political scientist and politician who served as Secretary General of the Council of Europe in the 1990s.
-
E.
Andreas Homoki
Andreas Homoki is a prominent Swiss opera director and cultural manager, known for leading major European opera houses and shaping contemporary opera productions.
- 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_69bd443775e48190a646ffbfc4334723 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd738f2cc88190a03eebf19e407411 |
completed | March 20, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c6859a88190bbf5688812f2eb91 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9e13855081908c3adc9c5c9f3b2d |
completed | March 21, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9e83b6e48190b56eb02fce41bbf0 |
completed | March 21, 2026, 1:34 p.m. |
Created at: March 20, 2026, 1:36 p.m.