Triple
T37118785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Mercy Killing to Mass Murder |
E919190
|
entity |
| Predicate | relatedToSubject |
P37
|
FINISHED |
| Object | Franz Stangl |
E55195
|
NE 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: Franz Stangl | Statement: [From Mercy Killing to Mass Murder, relatedToSubject, Franz Stangl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToSubject Context triple: [From Mercy Killing to Mass Murder, relatedToSubject, Franz Stangl]
-
A.
associatedWithSubject
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
-
B.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
relatedWorkBySubject
Indicates a relationship where one work is connected to another through sharing the same subject or topic.
- F. None of above.
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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a402ba39b10819094198622901ef658 |
completed | June 27, 2026, 7:59 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.