Triple
T11275360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Polk |
E266920
|
entity |
| Predicate | investigationSubject |
P59454
|
FINISHED |
| Object | corruption in Greek government |
—
|
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: corruption in Greek government | Statement: [George Polk, investigationSubject, corruption in Greek government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigationSubject Context triple: [George Polk, investigationSubject, corruption in Greek government]
-
A.
subjectOfInquest
Indicates that an entity is the focus or target of a formal inquest or official investigative proceeding.
-
B.
investigativeFocus
chosen
Indicates that an entity is the primary subject or target of investigation, inquiry, or detailed scrutiny by another entity.
-
C.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
D.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
E.
subjectOfProsecution
Indicates that an entity is the target or focus of a legal prosecution or criminal proceeding initiated by an authority.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e966cb4c8190bc410d7e623e54db |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.