Triple
T21737856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Alquist |
E536572
|
entity |
| Predicate | methodOfKillingAndrea |
P128435
|
FINISHED |
| Object | gunshot to the head |
—
|
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 to the head | Statement: [Todd Alquist, methodOfKillingAndrea, gunshot to the head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfKillingAndrea Context triple: [Todd Alquist, methodOfKillingAndrea, gunshot to the head]
-
A.
methodOfMurderScheme
chosen
Indicates the specific method or scheme by which a murder is carried out in a given situation or plan.
-
B.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
C.
assassinationOrganizedBy
Indicates that an assassination was planned, directed, or coordinated by a particular agent or organization.
-
D.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
E.
hasPartInMurderOf
Indicates involvement as a contributing participant in the commission of a murder.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0d33dc81908a4a79abc33355d1 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.