Triple
T28301751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella |
E713726
|
entity |
| Predicate | perpetratorsOfLover’sMurder |
P164251
|
FINISHED |
| Object | her brothers |
—
|
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: her brothers | Statement: [Isabella, perpetratorsOfLover’sMurder, her brothers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorsOfLover’sMurder Context triple: [Isabella, perpetratorsOfLover’sMurder, her brothers]
-
A.
sisterMurdered
Indicates that one entity killed the sister of another entity.
-
B.
Mary Bell
Indicates a relationship or action involving an entity named Mary Bell, though the specific nature of the relationship or action is not defined by the predicate alone.
-
C.
murderVictimOf
Indicates that one entity is the person who was killed by another entity in an act of murder.
-
D.
murderedAlongWith
Indicates that one entity was killed in the same incident or event as another entity.
-
E.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644b2eba4819093973b8eeb3ed63d |
completed | May 2, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:35 p.m.