Triple
T2279024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parable of the Good Samaritan |
E51237
|
entity |
| Predicate | promptedByQuestion |
P28577
|
FINISHED |
| Object | Who is my neighbor? |
—
|
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: Who is my neighbor? | Statement: [Parable of the Good Samaritan, promptedByQuestion, Who is my neighbor?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promptedByQuestion Context triple: [Parable of the Good Samaritan, promptedByQuestion, Who is my neighbor?]
-
A.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
B.
questionForm
chosen
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
C.
answeredBy
Indicates that a question, request, or problem is responded to or resolved by a particular entity.
-
D.
openingQuestion
Indicates that one entity poses an initial or introductory question to another, typically at the start of an interaction or dialogue.
-
E.
requestedBy
Indicates that one entity has made a request for something to be done, provided, or obtained by 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2194150819083156e4dcd45a423 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.