Triple
T8692990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduard "Del" Delacroix |
E206335
|
entity |
| Predicate | causeOfSufferingAtExecution |
P84222
|
FINISHED |
| Object | sponge deliberately not wetted |
—
|
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: sponge deliberately not wetted | Statement: [Eduard "Del" Delacroix, causeOfSufferingAtExecution, sponge deliberately not wetted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfSufferingAtExecution Context triple: [Eduard "Del" Delacroix, causeOfSufferingAtExecution, sponge deliberately not wetted]
-
A.
numberOfPeopleExecuted
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
B.
notablePrisonerExecuted
Indicates that a person, recognized as a notable or significant prisoner, was executed while in custody.
-
C.
deathPenaltyImposedFor
Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
-
D.
numberOfPeopleExecutedByHanging
Indicates the count of individuals who were put to death specifically by the method of hanging.
-
E.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions of another entity.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5826bbb48190a212fb1bb06e05e6 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc483f06f48190879f4702c8b4ed00 |
completed | March 31, 2026, 10:18 p.m. |
Created at: March 30, 2026, 6:33 p.m.