Triple
T8994540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otello (character) |
E214869
|
entity |
| Predicate | motiveForMurderOfDesdemona |
P34163
|
FINISHED |
| Object | false belief in her infidelity |
—
|
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: false belief in her infidelity | Statement: [Otello (character), motiveForMurderOfDesdemona, false belief in her infidelity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveForMurderOfDesdemona Context triple: [Otello (character), motiveForMurderOfDesdemona, false belief in her infidelity]
-
A.
reasonForMurder
chosen
Indicates the motive or underlying cause that led someone to commit a murder.
-
B.
causeOfVengeance
Indicates a relationship where one entity is the reason or trigger for another entity’s desire or act of vengeance.
-
C.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
D.
reasonForConviction
Indicates the specific offense or legal basis for which an individual was found guilty or convicted.
-
E.
revealsMurderTo
Indicates that one entity discloses information about a murder to 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68ddff288190869731df2c178ff6 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:04 p.m.