Triple
T16645349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Ardennes (1940) |
E404452
|
entity |
| Predicate | hasCommander |
P1197
|
FINISHED |
| Object | André Corap |
E102495
|
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: André Corap | Statement: [Battle of the Ardennes (1940), hasCommander, André Corap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Corap Context triple: [Battle of the Ardennes (1940), hasCommander, André Corap]
-
A.
André Corap
chosen
André Corap was a French army general best known for his ill-fated command of French forces during the early stages of the German invasion in 1940.
-
B.
Waldir Azevedo
Waldir Azevedo was a Brazilian composer and virtuoso cavaquinho player best known for popularizing the choro genre with pieces like "Brasileirinho."
-
C.
João Baldasserini
João Baldasserini is a Brazilian actor known for his work in film, television, and theater.
-
D.
Walter Carvalho
Walter Carvalho is a renowned Brazilian cinematographer known for his visually striking work on acclaimed films such as "Behind the Sun."
-
E.
Aníbal de Souza
Aníbal de Souza is a central character in the Spanish mystery drama series "High Seas," involved in the intrigue and secrets aboard a transatlantic luxury ship in the 1940s.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad4735c81908a3a227bf02ca489 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00918e61ac8190a01baf353a6a745c |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:18 a.m.