Triple
T28518288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Roland |
E721684
|
entity |
| Predicate | deathIsPlotCatalystFor |
P43126
|
FINISHED |
| Object | framing of Prince Peter |
—
|
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: framing of Prince Peter | Statement: [King Roland, deathIsPlotCatalystFor, framing of Prince Peter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathIsPlotCatalystFor Context triple: [King Roland, deathIsPlotCatalystFor, framing of Prince Peter]
-
A.
deathIs
Indicates that one entity is the cause, manner, or circumstance of another entity’s death.
-
B.
deathLeadsTo
Indicates that one entity’s death causes, results in, or brings about another event, state, or condition.
-
C.
deathIsWitnessedBy
Indicates that the occurrence of a death is directly observed or witnessed by another entity.
-
D.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
-
E.
deathTriggers
chosen
Indicates that the occurrence of one entity’s death causes or initiates another event, state, or process.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:18 a.m.