Triple
T35027086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Skakel |
E1010368
|
entity |
| Predicate | locationOfAllegedCrime |
—
|
GENERATED |
| Object | Belle Haven, Greenwich, Connecticut, United States |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfAllegedCrime Context triple: [Michael Skakel, locationOfAllegedCrime, Belle Haven, Greenwich, Connecticut, United States]
-
A.
allegedAssaultLocation
chosen
Indicates the place where an assault is claimed or reported to have occurred, without asserting that the assault actually happened.
-
B.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
C.
crimeLocation
Indicates that a crime occurred at, or is associated with, a particular location.
-
D.
allegedShooterLocation
Indicates the place where a person is claimed or reported to have carried out a shooting.
-
E.
allegedMisconductLocation
Indicates the place where the alleged misconduct is reported to have occurred.
- F. None of above.
Provenance (1 batch)
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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:01 p.m.