Triple
T24785335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agnes Nutter |
E620101
|
entity |
| Predicate | fictionalDeathManner |
P90208
|
FINISHED |
| Object | execution for witchcraft |
—
|
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: execution for witchcraft | Statement: [Agnes Nutter, fictionalDeathManner, execution for witchcraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalDeathManner Context triple: [Agnes Nutter, fictionalDeathManner, execution for witchcraft]
-
A.
deathTypeInFiction
chosen
Indicates the manner or category of how a character dies within a fictional narrative.
-
B.
deathInFiction
Indicates that an entity’s death occurs within a fictional work or narrative rather than in real life.
-
C.
fictionalDeathDate
Indicates the date on which a fictional character is depicted as having died within its narrative or canon.
-
D.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
E.
fakedOwnDeath
Indicates that an entity deliberately staged or pretended their own death to deceive others.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 4:45 a.m.