Triple
T9214612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Cartier-Bresson |
E221210
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Chanteloup-en-Brie |
E221210
|
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: Chanteloup-en-Brie | Statement: [Henri Cartier-Bresson, placeOfBirth, Chanteloup-en-Brie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chanteloup-en-Brie Context triple: [Henri Cartier-Bresson, placeOfBirth, Chanteloup-en-Brie]
-
A.
Chanteloup-en-Brie
chosen
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.
-
B.
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.
-
C.
Élancourt
Élancourt is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
-
D.
Le Vésinet
Le Vésinet is a suburban town in the western outskirts of Paris, France, known for its landscaped parks, lakes, and villa-style residential character.
-
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda06bf80819094c6e74b4b6a31e4 |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f37b39648190993874f5789e821e |
completed | April 4, 2026, 11:18 a.m. |
Created at: March 30, 2026, 7:27 p.m.