Triple
T28923935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Claythorne |
E733592
|
entity |
| Predicate | legalConsequenceBeforeNovel |
P129050
|
FINISHED |
| Object | acquitted at inquest |
—
|
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: acquitted at inquest | Statement: [Vera Claythorne, legalConsequenceBeforeNovel, acquitted at inquest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalConsequenceBeforeNovel Context triple: [Vera Claythorne, legalConsequenceBeforeNovel, acquitted at inquest]
-
A.
legalConsequenceAvoided
chosen
Indicates that an action, decision, or circumstance resulted in preventing or escaping an otherwise applicable legal penalty, liability, or sanction.
-
B.
narrativeConsequence
Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
-
C.
violationConsequences
Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
-
D.
backstoryConsequence
Indicates that one event or situation occurs as a direct result or outcome of a character’s or entity’s prior history or background.
-
E.
legalFiction
Indicates a relationship where something is treated as true or as having a particular legal status or effect, even though it is not literally or factually the case, for the purpose of applying or interpreting the law.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 28, 2026, 8:22 a.m.