Triple
T7693809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veronika |
E174317
|
entity |
| Predicate | methodOfSuicideAttempt |
P78749
|
FINISHED |
| Object | overdose of sleeping pills |
—
|
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: overdose of sleeping pills | Statement: [Veronika, methodOfSuicideAttempt, overdose of sleeping pills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfSuicideAttempt Context triple: [Veronika, methodOfSuicideAttempt, overdose of sleeping pills]
-
A.
deathMethod
Indicates the specific way or means by which a death occurred.
-
B.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
C.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
D.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
E.
finalSinkingMethod
Indicates the method or process ultimately used to sink or deliberately submerge an object, typically a vessel or structure.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c706d0c1708190a3e74523997814b8 |
completed | March 27, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:02 p.m.