Triple
T26381693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich Baum |
E663143
|
entity |
| Predicate | roleAtBattleOfBennington |
P106964
|
FINISHED |
| Object | commander of a British-allied detachment |
—
|
LITERAL 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: commander of a British-allied detachment | Statement: [Friedrich Baum, roleAtBattleOfBennington, commander of a British-allied detachment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfBennington Context triple: [Friedrich Baum, roleAtBattleOfBennington, commander of a British-allied detachment]
-
A.
roleInBattleOfBennington
chosen
Indicates the specific role or involvement an entity had in the Battle of Bennington.
-
B.
roleInAmericanRevolution
Indicates that an entity had a specific role, position, or involvement in events or activities related to the American Revolution.
-
C.
roleAtBattleOfPrinceton
Indicates the specific role or position an entity held during the Battle of Princeton.
-
D.
roleInBattleOfHubbardton
Indicates the specific role or involvement an entity had in the Battle of Hubbardton.
-
E.
roleInBattleOfLongIsland
Indicates the specific function, position, or participation an entity had in the Battle of Long Island.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 11:18 p.m.