Triple
T12436349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Hidalgo |
E297152
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jean-Marc Germain
Jean-Marc Germain is a French civil servant and politician known for his roles within the Socialist Party and as the husband of Paris mayor Anne Hidalgo.
|
E1216502
|
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-Marc Germain | Statement: [Anne Hidalgo, spouse, Jean-Marc Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Marc Germain Context triple: [Anne Hidalgo, spouse, Jean-Marc Germain]
-
A.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
-
D.
Daniel Pomarède
Daniel Pomarède is a French astrophysicist known for his work in cosmography and for helping map and characterize large-scale structures of the universe, including major galaxy superclusters.
-
E.
François Devouassoud
François Devouassoud was a 19th-century French mountain guide and alpinist known for pioneering ascents in the Caucasus and the Alps.
- 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-Marc Germain Triple: [Anne Hidalgo, spouse, Jean-Marc Germain]
Generated description
Jean-Marc Germain is a French civil servant and politician known for his roles within the Socialist Party and as the husband of Paris mayor Anne Hidalgo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Marc Germain Target entity description: Jean-Marc Germain is a French civil servant and politician known for his roles within the Socialist Party and as the husband of Paris mayor Anne Hidalgo.
-
A.
François Lecointre
François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
-
B.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
C.
Antoine Hennion
Antoine Hennion is a French sociologist known for his influential work on the sociology of culture, music, and mediation.
-
D.
Daniel Pomarède
Daniel Pomarède is a French astrophysicist known for his work in cosmography and for helping map and characterize large-scale structures of the universe, including major galaxy superclusters.
-
E.
François Devouassoud
François Devouassoud was a 19th-century French mountain guide and alpinist known for pioneering ascents in the Caucasus and the Alps.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8c8fd481909b35ac504127a1b6 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005804f5c08190b545bc8b65e953f7 |
completed | May 10, 2026, 10:03 a.m. |
| NEDg | Description generation | batch_6a00592562708190ae88f24fb34c7a02 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a17fd648190b2c6843f47a9ee2c |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 8, 2026, 9:55 p.m.