Triple
T28923946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Claythorne |
E733592
|
entity |
| Predicate | influencedToSuicideBy |
P179035
|
FINISHED |
| Object | Judge Lawrence Wargrave |
—
|
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: Judge Lawrence Wargrave | Statement: [Vera Claythorne, influencedToSuicideBy, Judge Lawrence Wargrave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedToSuicideBy Context triple: [Vera Claythorne, influencedToSuicideBy, Judge Lawrence Wargrave]
-
A.
attemptsSuicide
Indicates that an entity engages in an act intended to end their own life.
-
B.
rescuedFromSuicideBy
Indicates that one entity intervened to prevent another entity from committing suicide, thereby saving their life.
-
C.
killedHimselfAfter
Indicates that an individual committed suicide following a specified event or time.
-
D.
attemptedSuicideWith
Indicates that an entity tried to end their own life using a specified method, tool, or means.
-
E.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
- F. None of above. chosen
Provenance (4 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_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 28, 2026, 8:22 a.m.