Triple
T30521237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Fogarty |
E776697
|
entity |
| Predicate | wonTelevisionShow |
P169818
|
FINISHED |
| Object | I’m a Celebrity…Get Me Out of Here! (UK series 14) |
—
|
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: I’m a Celebrity…Get Me Out of Here! (UK series 14) | Statement: [Carl Fogarty, wonTelevisionShow, I’m a Celebrity…Get Me Out of Here! (UK series 14)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonTelevisionShow Context triple: [Carl Fogarty, wonTelevisionShow, I’m a Celebrity…Get Me Out of Here! (UK series 14)]
-
A.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
B.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
C.
televisionShowPresented
Indicates that one entity serves as the presenter or host of a television show involving the other entity.
-
D.
televisionWork
Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
-
E.
televisionUniverse
Indicates that two entities exist within the same fictional television continuity or shared TV universe.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68809fa4c8190b7477043dd360dc2 |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:17 p.m.