Triple
T35027089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Skakel |
E1010368
|
entity |
| Predicate | indictedIn |
P21461
|
FINISHED |
| Object | State of Connecticut v. Michael C. Skakel |
—
|
NE NERFINISHED |
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: State of Connecticut v. Michael C. Skakel | Statement: [Michael Skakel, indictedIn, State of Connecticut v. Michael C. Skakel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indictedIn Context triple: [Michael Skakel, indictedIn, State of Connecticut v. Michael C. Skakel]
-
A.
indictmentIssued
Indicates that formal criminal charges have been officially filed against an individual or entity by a legal authority.
-
B.
accusedIn
chosen
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
-
C.
indictmentIncludesEvent
Indicates that an indictment formally encompasses or references a specific event as part of its charges or allegations.
-
D.
accusedOf
Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
-
E.
firstIndictmentIssued
Indicates that an initial formal criminal charge has been officially filed against an entity for the first time in a given case or context.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7858aa5508190a07dde993b3356fc |
completed | May 3, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.