Triple
T33198700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Any Dream Will Do |
E849839
|
entity |
| Predicate | hasTelevisionTalentShowConnection |
P194482
|
FINISHED |
| Object | Any Dream Will Do (BBC casting show) |
—
|
NE NERFINISHED |
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: Any Dream Will Do (BBC casting show) | Statement: [Any Dream Will Do, hasTelevisionTalentShowConnection, Any Dream Will Do (BBC casting show)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTelevisionTalentShowConnection Context triple: [Any Dream Will Do, hasTelevisionTalentShowConnection, Any Dream Will Do (BBC casting show)]
-
A.
hasRealityTVSeries
Indicates that an entity is the subject or focus of a reality television series.
-
B.
hasOwnShow
Indicates that an entity is the primary host or central figure of a dedicated show or program associated with them.
-
C.
hasRealityTVElement
Indicates that something includes characteristics, themes, or stylistic features commonly associated with reality television.
-
D.
hasAwardShow
Indicates that an entity organizes, hosts, or is associated with a specific award show or ceremony.
-
E.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 1, 2026, 1:29 a.m.