Triple
T27080869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beilis trial (1911–1913) |
E685591
|
entity |
| Predicate | motiveAttributedByAccusers |
P111135
|
FINISHED |
| Object | blood libel |
—
|
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: blood libel | Statement: [Beilis trial (1911–1913), motiveAttributedByAccusers, blood libel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motiveAttributedByAccusers Context triple: [Beilis trial (1911–1913), motiveAttributedByAccusers, blood libel]
-
A.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
causeStatedByPerpetrators
Indicates that the stated cause or reason for an event or action is the one explicitly given by the perpetrators themselves.
-
C.
associatedWithAccusation
chosen
Indicates a relationship where an entity is linked or connected to a specific accusation or charge.
-
D.
victimOfAccusation
Indicates that an entity is the target or subject of an accusation made by another party.
-
E.
depictsMotive
Indicates that one entity visually represents or illustrates the motive, intention, or underlying reason associated with another entity or action.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 8:34 a.m.