Triple
T28923955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Claythorne |
E733592
|
entity |
| Predicate | alternateEndingInSomeAdaptations |
P55743
|
FINISHED |
| Object | survives and is exonerated |
—
|
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: survives and is exonerated | Statement: [Vera Claythorne, alternateEndingInSomeAdaptations, survives and is exonerated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateEndingInSomeAdaptations Context triple: [Vera Claythorne, alternateEndingInSomeAdaptations, survives and is exonerated]
-
A.
alternateEnding
chosen
Indicates that one version of a work provides a different conclusion or final sequence of events compared to the original or primary ending.
-
B.
inLaterAdaptations
Indicates that something appears, occurs, or is introduced only in subsequent or later adaptations of an original work or source.
-
C.
laterAdaptationName
Indicates that the object is the name of a later adaptation derived from or based on the subject.
-
D.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
E.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
- 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_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 28, 2026, 8:22 a.m.