Triple
T33466745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Rader |
E857070
|
entity |
| Predicate | methodOfCommunication |
P2798
|
FINISHED |
| Object | taunting letters to police and media |
—
|
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: taunting letters to police and media | Statement: [Dennis Rader, methodOfCommunication, taunting letters to police and media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfCommunication Context triple: [Dennis Rader, methodOfCommunication, taunting letters to police and media]
-
A.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
-
B.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
C.
communicationChannel
chosen
Indicates a medium or method through which information is transmitted between parties.
-
D.
canReceiveCommunicationsFrom
Indicates that one entity is able or permitted to receive communications that are sent by another entity.
-
E.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:37 a.m.