Triple
T12647129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William de Bohun, 1st Earl of Northampton |
E302054
|
entity |
| Predicate | roleAtBattleOfMorlaix |
P106172
|
FINISHED |
| Object | English 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: English commander | Statement: [William de Bohun, 1st Earl of Northampton, roleAtBattleOfMorlaix, English commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtBattleOfMorlaix Context triple: [William de Bohun, 1st Earl of Northampton, roleAtBattleOfMorlaix, English commander]
-
A.
roleAtBattleOfToulon
Indicates the specific role, position, or function an entity held during the Battle of Toulon.
-
B.
opponentInBattleOfCherbourg
Indicates that two entities were opposing sides against each other in the Battle of Cherbourg.
-
C.
roleInWarsOfTheRoses
Indicates the specific part or function an entity played in the historical conflict known as the Wars of the Roses.
-
D.
roleDuringCrusades
Indicates the specific function, position, or involvement an entity had in relation to the Crusades during the period they occurred.
-
E.
roleAtJutland
Indicates the specific role or position an entity held in relation to the Battle of Jutland.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:17 p.m.