Triple
T21244963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The David Rubenstein Show: Peer-to-Peer Conversations |
E523579
|
entity |
| Predicate | interviewStyle |
P105209
|
FINISHED |
| Object | peer-to-peer |
—
|
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: peer-to-peer | Statement: [The David Rubenstein Show: Peer-to-Peer Conversations, interviewStyle, peer-to-peer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interviewStyle Context triple: [The David Rubenstein Show: Peer-to-Peer Conversations, interviewStyle, peer-to-peer]
-
A.
notableInterviewStyle
chosen
Indicates that one entity is particularly recognized for a distinctive or characteristic way of conducting interviews with others.
-
B.
interviewSeries
Indicates a relationship where multiple interviews are organized as a connected, sequential series under a common theme or context.
-
C.
interviewTopic
Indicates that a particular subject or theme is the focus of discussion during an interview.
-
D.
questionStyle
Indicates the manner or format in which a question is posed or expressed.
-
E.
interviewedBy
Indicates that an entity is the subject of an interview conducted 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7352621488190bd74c57798c7d658 |
completed | April 21, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:47 p.m.