Triple
T32173443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hunsaker |
E821770
|
entity |
| Predicate | requestsInvestigationInto |
P173281
|
FINISHED |
| Object | Amanda Hunsaker’s death |
—
|
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: Amanda Hunsaker’s death | Statement: [Michael Hunsaker, requestsInvestigationInto, Amanda Hunsaker’s death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requestsInvestigationInto Context triple: [Michael Hunsaker, requestsInvestigationInto, Amanda Hunsaker’s death]
-
A.
helpsInvestigate
Indicates that one entity assists another entity in carrying out an investigation or inquiry.
-
B.
commissionInvestigated
Indicates that a commission formally examined, inquired into, or investigated a particular matter or entity.
-
C.
investigatedFor
Indicates that an entity is the subject of an investigation concerning a suspected involvement in another entity (typically a crime, incident, or wrongdoing).
-
D.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
E.
governmentInvestigation
Indicates that a government authority is formally examining or probing an entity, event, or activity to gather facts, determine compliance, or assess potential wrongdoing.
- F. None of above. chosen
Provenance (4 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba77b7288190a0f2b12c5df8ee3e |
completed | May 3, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b42902a081909126c7322858a2b3 |
completed | May 3, 2026, 2:34 a.m. |
Created at: May 1, 2026, 12:33 a.m.