Triple
T14064642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Batcheff |
E338434
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pierre Batcheff |
—
|
NE NERFINISHED |
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: Pierre Batcheff | Statement: [Pierre Batcheff, name, Pierre Batcheff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Batcheff Context triple: [Pierre Batcheff, name, Pierre Batcheff]
-
A.
Pierre Batcheff
chosen
Pierre Batcheff was a French silent film actor best known for his leading role in Luis Buñuel and Salvador Dalí’s surrealist classic "Un Chien Andalou."
-
B.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
-
C.
Jacques Aupick
Jacques Aupick was a 19th-century French general and diplomat best known as the stepfather of poet Charles Baudelaire.
-
D.
Henri Royer
Henri Royer was a French painter known for his portraits and genre scenes, often associated with the artistic circles of Nancy in the late 19th and early 20th centuries.
-
E.
Pierre Ferret
Pierre Ferret was a French architect known for designing modern sports facilities, including the Stade de la Licorne in Amiens.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5689c7f48190a47ca94eaa8a9ef9 |
completed | April 14, 2026, 3 p.m. |
Created at: April 9, 2026, 10:21 p.m.