Triple
T14210485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henri Barbusse |
E352214
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barbusse |
E352214
|
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: Barbusse | Statement: [Henri Barbusse, familyName, Barbusse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbusse Context triple: [Henri Barbusse, familyName, Barbusse]
-
A.
Barbusse
chosen
Barbusse is the surname of Henri Barbusse, a French novelist and pacifist best known for his World War I novel "Le Feu" ("Under Fire").
-
B.
Shchors
Shchors is a 1939 Soviet biographical war film directed by Alexander Dovzhenko about the Ukrainian Bolshevik commander Nikolai Shchors.
-
C.
Roman Karmen
Roman Karmen was a prominent Soviet documentary filmmaker and war correspondent renowned for his dramatic frontline footage and influential propaganda films during the mid-20th century.
-
D.
Ratmir
Ratmir is a Tatar prince who appears as a gallant yet ultimately reformed seducer in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
E.
Zhores
Zhores is a given name most notably borne by Nobel Prize–winning physicist Zhores Alferov.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61fa8d24819092a8ec5d34c1c799 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19574280819091bafd95a75983bf |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.