Triple
T17480725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmund Beaufort, 1st Duke of Somerset |
E425649
|
entity |
| Predicate | causeOfDeathContext |
P144
|
FINISHED |
| Object | killed by Yorkist forces at the First Battle of St Albans |
—
|
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: killed by Yorkist forces at the First Battle of St Albans | Statement: [Edmund Beaufort, 1st Duke of Somerset, causeOfDeathContext, killed by Yorkist forces at the First Battle of St Albans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDeathContext Context triple: [Edmund Beaufort, 1st Duke of Somerset, causeOfDeathContext, killed by Yorkist forces at the First Battle of St Albans]
-
A.
causeOfDeath
chosen
Indicates the specific factor, event, or condition that directly resulted in an entity’s death.
-
B.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
C.
namedAfterCauseOfDeath
Indicates that an entity is named after the cause of death of a person or organism.
-
D.
deathCharacteristic
Indicates a characteristic, attribute, or quality specifically associated with a death event or the manner in which death occurred.
-
E.
deathCauseUncertainty
Indicates that there is ambiguity, doubt, or lack of definitive information about the cause of death in the relationship being described.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bfd75481908c20bc2c1cbff593 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:48 a.m.