Triple
T12476470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali G |
E298187
|
entity |
| Predicate | notableInterviewStyle |
P105209
|
FINISHED |
| Object | asking naive questions |
—
|
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: asking naive questions | Statement: [Ali G, notableInterviewStyle, asking naive questions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInterviewStyle Context triple: [Ali G, notableInterviewStyle, asking naive questions]
-
A.
notableInterviewee
Indicates that a person has been interviewed by another person or organization in a way considered significant or noteworthy.
-
B.
usesInterviews
Indicates that one entity employs interviews as a method or tool in relation to another entity or process.
-
C.
notableWorkStyle
Indicates a stylistic characteristic or distinctive manner associated with a notable work created by the subject.
-
D.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
E.
interviewSeries
Indicates a relationship where multiple interviews are organized as a connected, sequential series under a common theme or context.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e5f8d04819086d1ad4d62364005 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.