Triple
T16446099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angeville |
E399430
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Jean-Michel Blay
Jean-Michel Blay is a French local politician serving as the mayor of the commune of Angeville.
|
E1217592
|
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: Jean-Michel Blay | Statement: [Angeville, hasMayor, Jean-Michel Blay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Michel Blay Context triple: [Angeville, hasMayor, Jean-Michel Blay]
-
A.
Gérard Blain
Gérard Blain was a French actor and film director known for his roles in mid-20th-century European cinema and his later work as a New Wave–adjacent auteur.
-
B.
Jean-Marc Mormeck
Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
-
C.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
-
D.
Gilles Hocquart
Gilles Hocquart was an 18th-century French colonial administrator who served as intendant of New France, overseeing its civil administration, finances, and economic development.
-
E.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
- 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: Jean-Michel Blay Triple: [Angeville, hasMayor, Jean-Michel Blay]
Generated description
Jean-Michel Blay is a French local politician serving as the mayor of the commune of Angeville.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Michel Blay Target entity description: Jean-Michel Blay is a French local politician serving as the mayor of the commune of Angeville.
-
A.
Gérard Blain
Gérard Blain was a French actor and film director known for his roles in mid-20th-century European cinema and his later work as a New Wave–adjacent auteur.
-
B.
Jean-Marc Mormeck
Jean-Marc Mormeck is a French former professional boxer and multiple-time cruiserweight world champion known for his powerful, pressure-fighting style.
-
C.
Michel Bizot
Michel Bizot is a Paris Métro station in the 12th arrondissement, named after the 19th-century French general Michel Brice Bizot.
-
D.
Gilles Hocquart
Gilles Hocquart was an 18th-century French colonial administrator who served as intendant of New France, overseeing its civil administration, finances, and economic development.
-
E.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdcedf8819080aa82a8712c0b42 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060746c308190b67ff7c4646e10de |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00614185008190bf4abe2443222225 |
completed | May 10, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0061b833548190a56a32e634757419 |
completed | May 10, 2026, 10:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.