Triple
T7324697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinis |
E168840
|
entity |
| Predicate | killingMethodUsedOnSelf |
P11798
|
FINISHED |
| Object | killed by his own pine-tree method in some versions |
—
|
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: killed by his own pine-tree method in some versions | Statement: [Sinis, killingMethodUsedOnSelf, killed by his own pine-tree method in some versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killingMethodUsedOnSelf Context triple: [Sinis, killingMethodUsedOnSelf, killed by his own pine-tree method in some versions]
-
A.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
B.
typeOfKilling
Indicates a specific manner, method, or category of killing that characterizes how the killing was carried out.
-
C.
deathMethod
chosen
Indicates the specific way or means by which a death occurred.
-
D.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
E.
hasPartInMannerOfDeath
Indicates that an entity’s involvement in a death is characterized or qualified by a specific manner or way in which the death occurred.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.