Triple
T9971882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Goetz |
E196226
|
entity |
| Predicate | civilJudgment |
P2931
|
FINISHED |
| Object | liable for shooting Darryl Cabey |
—
|
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: liable for shooting Darryl Cabey | Statement: [Bernhard Goetz, civilJudgment, liable for shooting Darryl Cabey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilJudgment Context triple: [Bernhard Goetz, civilJudgment, liable for shooting Darryl Cabey]
-
A.
judgmentInvolves
Indicates that a particular judgment, decision, or legal ruling includes, concerns, or pertains to a specified entity or matter.
-
B.
civilJudgmentAmount
Indicates the monetary value ordered or determined in a civil court judgment between parties.
-
C.
legalOutcome
chosen
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
-
D.
courtOrdered
Indicates that an action, condition, or relationship exists because it has been formally mandated or imposed by a court order.
-
E.
civilVariant
Indicates a relationship where one item is a civil (non-military or civilian-use) version or counterpart of another.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:48 p.m.