Triple
T35179311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 35 Up |
E1015802
|
entity |
| Predicate | featuresInterviewStyle |
P105209
|
FINISHED |
| Object | talking-head interviews |
—
|
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: talking-head interviews | Statement: [35 Up, featuresInterviewStyle, talking-head interviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresInterviewStyle Context triple: [35 Up, featuresInterviewStyle, talking-head interviews]
-
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.
usesInterviews
Indicates that one entity employs interviews as a method or tool in relation to another entity or process.
-
D.
interviewedBy
Indicates that an entity is the subject of an interview conducted by another entity.
-
E.
interviewTopic
Indicates that a particular subject or theme is the focus of discussion during an interview.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.