Triple
T212056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirhan Sirhan |
E4741
|
entity |
| Predicate | methodOfKilling |
P2115
|
FINISHED |
| Object | shooting |
—
|
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: shooting | Statement: [Sirhan Sirhan, methodOfKilling, shooting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfKilling Context triple: [Sirhan Sirhan, methodOfKilling, shooting]
-
A.
usedMethodOfKilling
chosen
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
B.
killedBy
Indicates that one entity caused the death of another entity.
-
C.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
-
D.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
-
E.
notableVictim
Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.