Triple
T31393408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tomorrow Show |
E800795
|
entity |
| Predicate | hostStyle |
P172956
|
FINISHED |
| Object | one-on-one 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: one-on-one interviews | Statement: [The Tomorrow Show, hostStyle, one-on-one interviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostStyle Context triple: [The Tomorrow Show, hostStyle, one-on-one interviews]
-
A.
boardingStyle
Indicates the manner or method by which an entity boards or is boarded onto another entity (such as a vehicle, vessel, or platform).
-
B.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
C.
hostBackground
Indicates that one entity serves as the environmental or contextual background in which another entity (typically a host or primary subject) is situated or presented.
-
D.
hostStar
Indicates that one celestial object serves as the primary star around which another object, such as a planet or system, is associated or orbits.
-
E.
hostsSDK
Indicates that one entity provides an environment or platform in which another entity’s software development kit (SDK) is installed, available, or run.
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: April 29, 2026, 9:19 p.m.