Triple
T5091434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Robber Bridegroom |
E114758
|
entity |
| Predicate | violenceDepicted |
P14172
|
FINISHED |
| Object | murder |
—
|
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: murder | Statement: [The Robber Bridegroom, violenceDepicted, murder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: violenceDepicted Context triple: [The Robber Bridegroom, violenceDepicted, murder]
-
A.
viewOnViolence
Indicates an entity’s stance, opinion, or attitude toward the use of violence.
-
B.
peakViolencePeriod
Indicates the time period during which violence reaches its highest intensity or frequency within a given context.
-
C.
hasTypeOfViolence
chosen
Indicates that an entity involves, exhibits, or is characterized by a specific kind or category of violent behavior or action.
-
D.
depictsConflict
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
-
E.
usedViolenceAgainst
Indicates that one entity intentionally inflicted physical force or harm upon another entity.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7541b2bc8190b58c2a23733b7825 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.