Triple
T13638410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montserrat Carnival |
E325910
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object |
Queen Show
Queen Show is a popular beauty and talent pageant held as part of the Montserrat Carnival celebrations.
|
E1052559
|
NE FINISHED |
How this triple was built (4 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: Queen Show | Statement: [Montserrat Carnival, features, Queen Show]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Show Context triple: [Montserrat Carnival, features, Queen Show]
-
A.
Queen Show
Queen Show is a beauty and cultural pageant held as part of Grenada’s Carnival celebrations, showcasing contestants in costume, talent, and poise.
-
B.
Drama Queen
"Drama Queen" is a song by American punk rock band Green Day from their album ¡Tré!.
-
C.
King of Queens
King of Queens is the 2014 debut studio album by Nigerian singer Yemi Alade, blending Afro-pop and dance music that helped establish her as a leading figure in contemporary African music.
-
D.
King of Queens
King of Queens is an American sitcom that follows the everyday misadventures of a delivery driver, his wife, and her eccentric father living together in Queens, New York.
-
E.
A Night in the Show
A Night in the Show is a 1915 silent comedy film starring Charlie Chaplin as a bumbling theater patron causing chaos in a music-hall performance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Queen Show Triple: [Montserrat Carnival, features, Queen Show]
Generated description
Queen Show is a popular beauty and talent pageant held as part of the Montserrat Carnival celebrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Show Target entity description: Queen Show is a popular beauty and talent pageant held as part of the Montserrat Carnival celebrations.
-
A.
Queen Show
Queen Show is a beauty and cultural pageant held as part of Grenada’s Carnival celebrations, showcasing contestants in costume, talent, and poise.
-
B.
Drama Queen
"Drama Queen" is a song by American punk rock band Green Day from their album ¡Tré!.
-
C.
King of Queens
King of Queens is the 2014 debut studio album by Nigerian singer Yemi Alade, blending Afro-pop and dance music that helped establish her as a leading figure in contemporary African music.
-
D.
King of Queens
King of Queens is an American sitcom that follows the everyday misadventures of a delivery driver, his wife, and her eccentric father living together in Queens, New York.
-
E.
A Night in the Show
A Night in the Show is a 1915 silent comedy film starring Charlie Chaplin as a bumbling theater patron causing chaos in a music-hall performance.
- F. None of above. chosen
Provenance (5 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78af46fe481909c6f9a6f58f887d1 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd316788190a245e8199f6ac87b |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:51 p.m.