Triple
T6566231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Should We Then Live? |
E153912
|
entity |
| Predicate | questionFormInTitle |
P71905
|
FINISHED |
| Object | ethical question about human conduct |
—
|
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: ethical question about human conduct | Statement: [How Should We Then Live?, questionFormInTitle, ethical question about human conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionFormInTitle Context triple: [How Should We Then Live?, questionFormInTitle, ethical question about human conduct]
-
A.
questionForm
Indicates that one entity is expressed or structured in the form of a question directed toward another entity or context.
-
B.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
C.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
D.
questionType
Indicates the specific category or kind of question that an item, query, or prompt belongs to.
-
E.
questionTopic
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
- F. None of above. chosen
Provenance (4 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acf93cb48190b54f5dd6febd34dc |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 1:52 p.m.