Triple
T12959998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Une ténébreuse affaire |
E310114
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Michu
Michu is a key fictional character in Honoré de Balzac’s novel "Une ténébreuse affaire," notable for his involvement in the book’s political and judicial intrigues.
|
E1012831
|
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: Michu | Statement: [Une ténébreuse affaire, hasCharacter, Michu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michu Context triple: [Une ténébreuse affaire, hasCharacter, Michu]
-
A.
Michu
Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
-
B.
Michi
Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
-
C.
Mikki
Mikki is a supporting character in the romantic comedy film "Chalet Girl," set in the world of upscale Alpine ski resorts.
-
D.
Mici
Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
-
E.
Lachi
Lachi is a town and administrative subdivision located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
- 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: Michu Triple: [Une ténébreuse affaire, hasCharacter, Michu]
Generated description
Michu is a key fictional character in Honoré de Balzac’s novel "Une ténébreuse affaire," notable for his involvement in the book’s political and judicial intrigues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michu Target entity description: Michu is a key fictional character in Honoré de Balzac’s novel "Une ténébreuse affaire," notable for his involvement in the book’s political and judicial intrigues.
-
A.
Michu
Michu is a retired Spanish attacking midfielder and forward best known for his prolific 2012–13 season with Swansea City in the English Premier League.
-
B.
Michi
Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
-
C.
Mikki
Mikki is a supporting character in the romantic comedy film "Chalet Girl," set in the world of upscale Alpine ski resorts.
-
D.
Mici
Mici is the given name of Mária Harkányi, a person known by this shorter personal name.
-
E.
Lachi
Lachi is a town and administrative subdivision located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8e006cc819091e5f4b044cadea4 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dac2c88190850304023f156969 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb2602848190b9588134c71d0ef4 |
completed | May 3, 2026, 3:04 a.m. |
Created at: April 9, 2026, 5:44 p.m.