Triple
T33756853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linnet Ridgeway Doyle |
E865000
|
entity |
| Predicate | murderVictimIn |
P116503
|
FINISHED |
| Object | Death on the Nile |
—
|
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: Death on the Nile | Statement: [Linnet Ridgeway Doyle, murderVictimIn, Death on the Nile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: murderVictimIn Context triple: [Linnet Ridgeway Doyle, murderVictimIn, Death on the Nile]
-
A.
murderVictimOf
Indicates that one entity is the person who was killed by another entity in an act of murder.
-
B.
victimOfMurderPlot
Indicates that one entity is the intended target or victim in another entity’s plan or plot to commit murder.
-
C.
hasMurderVictimCharacter
chosen
Indicates that an entity (such as a work of fiction or event) includes or involves a character who is the victim of a murder.
-
D.
hasMannerOfDeathOfVictim
Indicates the specific way or circumstances in which the victim died in relation to the event or action being described.
-
E.
hasMurderer
Indicates that one entity is the person who committed the murder of 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.