Triple
T925058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrest of Jesus |
E19964
|
entity |
| Predicate | hasQuotation |
P492
|
FINISHED |
| Object | “Shall I not drink the cup the Father has given me?” |
—
|
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: “Shall I not drink the cup the Father has given me?” | Statement: [Arrest of Jesus, hasQuotation, “Shall I not drink the cup the Father has given me?”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuotation Context triple: [Arrest of Jesus, hasQuotation, “Shall I not drink the cup the Father has given me?”]
-
A.
hasQuotationStatus
Indicates that an entity has a particular quotation-related state or condition (such as being quoted, unquoted, or having a specific quotation status).
-
B.
notableQuote
chosen
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
C.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
D.
hasQualifier
Indicates that one entity serves as a qualifier or modifier that further specifies or restricts the meaning or scope of another entity or statement.
-
E.
hasTrade
Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.