Triple
T7198861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Earl Ray |
E168685
|
entity |
| Predicate | pled |
P18480
|
FINISHED |
| Object | guilty to the murder of Martin Luther King Jr. |
—
|
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: guilty to the murder of Martin Luther King Jr. | Statement: [James Earl Ray, pled, guilty to the murder of Martin Luther King Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pled Context triple: [James Earl Ray, pled, guilty to the murder of Martin Luther King Jr.]
-
A.
bondedWith
Indicates that two entities are joined by a strong, enduring connection or attachment, whether emotional, social, or structural.
-
B.
binding
Indicates that one entity physically or chemically attaches, adheres, or forms a stable association with another entity.
-
C.
committed
chosen
Indicates that an agent has carried out or been responsible for a specific act, event, or wrongdoing.
-
D.
pairBond
Indicates a long-term, typically exclusive social or reproductive partnership formed between two individuals.
-
E.
entangledWith
Indicates a mutual state in which two or more entities are so interconnected that a change or condition in one inherently affects or constrains the other(s).
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92b8bc08190bfcdd34ce42e3448 |
completed | March 27, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.