Triple
T35520193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlacht bei Hastenbeck |
E1026530
|
entity |
| Predicate | BefehlshaberFrankreich |
P19844
|
FINISHED |
| Object | Louis-Charles-César Le Tellier, comte d’Estrées |
—
|
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: Louis-Charles-César Le Tellier, comte d’Estrées | Statement: [Schlacht bei Hastenbeck, BefehlshaberFrankreich, Louis-Charles-César Le Tellier, comte d’Estrées]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BefehlshaberFrankreich Context triple: [Schlacht bei Hastenbeck, BefehlshaberFrankreich, Louis-Charles-César Le Tellier, comte d’Estrées]
-
A.
FrenchCommander
chosen
Indicates that an entity serves as a military commander associated with France.
-
B.
notableLeaderFrance
Indicates that the subject is recognized as a notable leader associated with France.
-
C.
commanderOfFrankishForces
Indicates that one entity serves as the commander of the Frankish military forces in relation to another entity or context.
-
D.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
E.
FranceCaptain
Indicates that an entity serves as the captain (leader) of a French national or representative team in a given context.
- F. None of above.
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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.