Triple
T1471392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killing of Lee Harvey Oswald |
E27141
|
entity |
| Predicate | hasMannerOfDeathOfVictim |
P29062
|
FINISHED |
| Object | gunshot wound to the abdomen |
—
|
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: gunshot wound to the abdomen | Statement: [Killing of Lee Harvey Oswald, hasMannerOfDeathOfVictim, gunshot wound to the abdomen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMannerOfDeathOfVictim Context triple: [Killing of Lee Harvey Oswald, hasMannerOfDeathOfVictim, gunshot wound to the abdomen]
-
A.
allegedMannerOfDeath
Indicates that the specified manner of death is claimed or reported for an entity, but not confirmed as factual.
-
B.
diedInCustodyOf
Indicates that an individual died while under the control, supervision, or physical custody of a specified authority or entity.
-
C.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
D.
victimTitleAtDeath
Indicates the formal title or position held by the victim at the time of their death.
-
E.
killedBy
Indicates that one entity caused the death 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.