Triple
T1471394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killing of Lee Harvey Oswald |
E27141
|
entity |
| Predicate | hasOutcomeForVictim |
P812
|
FINISHED |
| Object | death of Lee Harvey Oswald |
—
|
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: death of Lee Harvey Oswald | Statement: [Killing of Lee Harvey Oswald, hasOutcomeForVictim, death of Lee Harvey Oswald]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutcomeForVictim Context triple: [Killing of Lee Harvey Oswald, hasOutcomeForVictim, death of Lee Harvey Oswald]
-
A.
hasVictimCount
Indicates the number of victims associated with a particular event, action, or entity.
-
B.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
C.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
-
D.
describesOutcomeOf
Indicates that one entity specifies or characterizes the result, consequence, or outcome produced by another entity or process.
-
E.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
- 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.