Triple
T12015152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assassination of James I of Scotland |
E286004
|
entity |
| Predicate | hasVictimReignEnd |
P2721
|
FINISHED |
| Object | 1437 |
—
|
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: 1437 | Statement: [Assassination of James I of Scotland, hasVictimReignEnd, 1437]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVictimReignEnd Context triple: [Assassination of James I of Scotland, hasVictimReignEnd, 1437]
-
A.
endOfReign
chosen
Indicates the point in time or event at which a ruler’s or leader’s period of authority or reign concludes.
-
B.
hasConqueringKing
Indicates that an entity has a king who has conquered or taken control over it or its territory.
-
C.
hasVictimCount
Indicates the number of victims associated with a particular event, action, or entity.
-
D.
hasMainVictim
Indicates that an event, action, or harmful situation primarily targets or affects a specific victim as its main subject.
-
E.
hasLastDynasty
Indicates that an entity’s most recent or final ruling dynasty is the specified dynasty.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902b6ebbc8190b13c44a61c6f81b9 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.