Triple
T14053152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevalier de Lévis |
E338142
|
entity |
| Predicate | roleInBattleOfSainteFoy |
P112640
|
FINISHED |
| Object | French commander |
—
|
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: French commander | Statement: [Chevalier de Lévis, roleInBattleOfSainteFoy, French commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfSainteFoy Context triple: [Chevalier de Lévis, roleInBattleOfSainteFoy, French commander]
-
A.
roleAtBattleOfMorlaix
Indicates the specific role, position, or function an entity held during the Battle of Morlaix.
-
B.
roleAtBattleOfToulon
Indicates the specific role, position, or function an entity held during the Battle of Toulon.
-
C.
roleInBattleOfBennington
Indicates the specific role or involvement an entity had in the Battle of Bennington.
-
D.
opponentInBattleOfCherbourg
Indicates that two entities were opposing sides against each other in the Battle of Cherbourg.
-
E.
roleInFronde
Indicates that an entity participated in or held a specific role within the historical conflict known as the Fronde.
- F. None of above. chosen
Provenance (4 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.