Triple
T28568792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jeff Probst Show |
E722754
|
entity |
| Predicate | hasPrimaryHostBackground |
P70599
|
FINISHED |
| Object | reality television host |
—
|
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: reality television host | Statement: [The Jeff Probst Show, hasPrimaryHostBackground, reality television host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryHostBackground Context triple: [The Jeff Probst Show, hasPrimaryHostBackground, reality television host]
-
A.
hasNotableHostBackground
chosen
Indicates that the host of an event, show, or program has a background or profile that is considered particularly significant, distinguished, or noteworthy.
-
B.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
C.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
D.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
-
E.
hasBackgroundPattern
Indicates that an entity possesses a recurring or structured visual pattern in its background area.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: April 28, 2026, 4:08 a.m.