Triple
T4031138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamerlan Tsarnaev |
E83711
|
entity |
| Predicate | methodOfCrime |
P2115
|
FINISHED |
| Object | pressure cooker bombs |
—
|
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: pressure cooker bombs | Statement: [Tamerlan Tsarnaev, methodOfCrime, pressure cooker bombs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfCrime Context triple: [Tamerlan Tsarnaev, methodOfCrime, pressure cooker bombs]
-
A.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
B.
hasMannerOfDeathOfVictim
Indicates the specific way or circumstances in which the victim died in relation to the event or action being described.
-
C.
usedMethodOfKilling
chosen
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
D.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
E.
targetOfCrime
Indicates that the subject is the person, organization, or entity against whom the referenced crime is committed.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0dbb8481909ff2ee49dadcd1dc |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.