Triple
T10974940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Lavenza |
E259345
|
entity |
| Predicate | deathMotivation |
P96393
|
FINISHED |
| Object | revenge by the creature against Victor Frankenstein |
—
|
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: revenge by the creature against Victor Frankenstein | Statement: [Elizabeth Lavenza, deathMotivation, revenge by the creature against Victor Frankenstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathMotivation Context triple: [Elizabeth Lavenza, deathMotivation, revenge by the creature against Victor Frankenstein]
-
A.
reasonForDeath
Indicates the cause, circumstance, or condition that led to an entity’s death.
-
B.
deathTriggers
Indicates that the occurrence of one entity’s death causes or initiates another event, state, or process.
-
C.
death
Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
-
D.
deathOvers
Indicates the number of overs bowled in the final phase of a limited-overs cricket innings, typically focused on the closing overs where scoring and wicket-taking intensify.
-
E.
deathBy
Indicates a relationship where one entity’s death is caused by another entity, event, or factor.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.