Triple
T7851301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri La Fontaine |
E182059
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Henri La Fontaine |
E182059
|
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: Henri La Fontaine | Statement: [Henri La Fontaine, name, Henri La Fontaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henri La Fontaine Context triple: [Henri La Fontaine, name, Henri La Fontaine]
-
A.
Henri La Fontaine
chosen
Henri La Fontaine was a Belgian international lawyer, pacifist, and Nobel Peace Prize laureate known for his pioneering work in documentation and bibliographic classification.
-
B.
Henri Lebasque
Henri Lebasque was a French post-impressionist painter known for his luminous use of color and intimate domestic and landscape scenes.
-
C.
Pierre Ruffey
Pierre Ruffey was a French Army general during World War I who played a key role in the early Western Front campaigns, notably commanding forces in the 1914 Battle of the Ardennes.
-
D.
Charles Despiau
Charles Despiau was a French sculptor known for his refined, classical portrait busts and his role in the early 20th-century Parisian art scene.
-
E.
Pierre Lafue
Pierre Lafue was a French writer and intellectual whose legacy is honored by a literary foundation prize bearing his name.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18eaac508190bf373b1d50b52e1e |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e215ac56248190a75ad5ceb8152d5a |
completed | April 17, 2026, 11:12 a.m. |
Created at: March 30, 2026, 4:50 p.m.