Triple
T1471391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killing of Lee Harvey Oswald |
E27141
|
entity |
| Predicate | hasLegalChargeAgainstPerpetrator |
P9856
|
FINISHED |
| Object | murder with malice |
—
|
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: murder with malice | Statement: [Killing of Lee Harvey Oswald, hasLegalChargeAgainstPerpetrator, murder with malice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalChargeAgainstPerpetrator Context triple: [Killing of Lee Harvey Oswald, hasLegalChargeAgainstPerpetrator, murder with malice]
-
A.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
B.
hasFirstConviction
Indicates that an entity has received its first legal conviction for an offense.
-
C.
hasAccuser
Indicates that one entity serves as the accuser of another entity in a dispute, complaint, or allegation.
-
D.
accusedOf
chosen
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
-
E.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
- 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_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. |
Created at: March 1, 2026, 8:01 p.m.