Triple
T18860730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meetic |
E461303
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Marc Simoncini
Marc Simoncini is a French entrepreneur best known as the founder of the online dating service Meetic and as an influential tech investor.
|
E1346609
|
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: Marc Simoncini | Statement: [Meetic, foundedBy, Marc Simoncini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Simoncini Context triple: [Meetic, foundedBy, Marc Simoncini]
-
A.
Marco Simone
Marco Simone is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy, known primarily as a residential area near Rome.
-
B.
Rocco Simonelli
Rocco Simonelli was an American screenwriter and playwright known for his work on crime and drama films, including the 1996 movie "The Substitute."
-
C.
Marco Brambilla
Marco Brambilla is an Italian-Canadian visual artist and filmmaker known for his elaborate video collages and for directing the sci-fi action film "Demolition Man."
-
D.
Stefano Arnaldi
Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
-
E.
Andrea Molesini
Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
- 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: Marc Simoncini Triple: [Meetic, foundedBy, Marc Simoncini]
Generated description
Marc Simoncini is a French entrepreneur best known as the founder of the online dating service Meetic and as an influential tech investor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Simoncini Target entity description: Marc Simoncini is a French entrepreneur best known as the founder of the online dating service Meetic and as an influential tech investor.
-
A.
Marco Simone
Marco Simone is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy, known primarily as a residential area near Rome.
-
B.
Rocco Simonelli
Rocco Simonelli was an American screenwriter and playwright known for his work on crime and drama films, including the 1996 movie "The Substitute."
-
C.
Marco Brambilla
Marco Brambilla is an Italian-Canadian visual artist and filmmaker known for his elaborate video collages and for directing the sci-fi action film "Demolition Man."
-
D.
Stefano Arnaldi
Stefano Arnaldi is a composer best known for creating the musical score for the film "Tea with Mussolini."
-
E.
Andrea Molesini
Andrea Molesini is an Italian writer and academic best known for his award-winning novels, particularly in contemporary Italian literature.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575b73f0c8190a04769515217c39c |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a0576e3915c819098a969ddd2b2d1a5 |
completed | May 14, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05777f51b481909a7916bc40dcfd69 |
completed | May 14, 2026, 7:19 a.m. |
Created at: April 10, 2026, 11:57 a.m.