Triple
T28662649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idus Martiae |
E725506
|
entity |
| Predicate | warningUtteredBy |
P86402
|
FINISHED |
| Object | soothsayer in Shakespeare’s Julius Caesar |
—
|
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: soothsayer in Shakespeare’s Julius Caesar | Statement: [Idus Martiae, warningUtteredBy, soothsayer in Shakespeare’s Julius Caesar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warningUtteredBy Context triple: [Idus Martiae, warningUtteredBy, soothsayer in Shakespeare’s Julius Caesar]
-
A.
warningGivenBy
chosen
Indicates that one entity issues or delivers a warning to another entity.
-
B.
warningIssued
Indicates that a formal warning or alert has been communicated from one entity to another regarding a potential or existing risk, problem, or violation.
-
C.
warningType
Indicates the specific category or classification of a warning associated with an entity or event.
-
D.
warningSubject
Indicates that one entity is the topic or focus of a warning issued by another entity.
-
E.
warningCall
Indicates that one entity initiates a call to another specifically to warn them about a danger, risk, or important cautionary information.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:59 a.m.