Triple
T14189330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules Lefebvre |
E351666
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Tournan-en-Brie |
E636165
|
NE FINISHED |
How this triple was built (2 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: Tournan-en-Brie | Statement: [Jules Lefebvre, placeOfBirth, Tournan-en-Brie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tournan-en-Brie Context triple: [Jules Lefebvre, placeOfBirth, Tournan-en-Brie]
-
A.
Saintry-sur-Seine
Saintry-sur-Seine is a small commune in the Essonne department of the Île-de-France region in northern France, situated along the Seine River.
-
B.
Tournan
chosen
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
-
C.
Sucy-en-Brie
Sucy-en-Brie is a suburban commune in the southeastern outskirts of Paris, France, known for its residential character and green spaces.
-
D.
Chanteloup-en-Brie
Chanteloup-en-Brie is a small commune in the Seine-et-Marne department of north-central France, known as the birthplace of renowned photographer Henri Cartier-Bresson.
-
E.
Grigny
Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61de509881908967ef5031f2a8d9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014132570081909fab220c002c2f10 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:03 a.m.