Triple
T3377277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One Show |
E71093
|
entity |
| Predicate | isInterviewBased |
P48083
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The One Show, isInterviewBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInterviewBased Context triple: [The One Show, isInterviewBased, true]
-
A.
admissionsBasedOn
Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
-
B.
recruitmentBasis
Indicates the criteria, grounds, or conditions on which an entity is recruited or selected for a role or position.
-
C.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
D.
internship
Indicates that one entity is engaged in a temporary, often educational work placement or training position with another entity, typically to gain practical experience.
-
E.
areBasedOn
Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69adaa518ac88190b64f949ace018ab7 |
completed | March 8, 2026, 4:56 p.m. |
Created at: March 8, 2026, 3:13 p.m.