Triple
T22381380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen & Slim |
E553281
|
entity |
| Predicate | leadCharacter |
P1668
|
FINISHED |
| Object |
Queen
Queen is the intelligent, principled female protagonist of the 2019 romantic crime drama film "Queen & Slim."
|
E1534417
|
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 | Statement: [Queen & Slim, leadCharacter, Queen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Context triple: [Queen & Slim, leadCharacter, Queen]
-
A.
Queen
"Queen" is a 2018 pop single by British singer-songwriter Jessie J that promotes self-acceptance and body positivity.
-
B.
Queen
Queen is the fourth studio album by Trinidadian-born rapper and singer Nicki Minaj, showcasing her blend of hip hop, pop, and R&B.
-
C.
Queen
A queen is a female monarch who serves as the sovereign head of state in a monarchy.
-
D.
Queen
Queen is a legendary British rock band known for its theatrical style, powerful vocals by Freddie Mercury, and iconic hits like "Bohemian Rhapsody" and "We Will Rock You."
-
E.
Queen
"Queen" is a 2014 Hindi-language coming-of-age comedy-drama film that follows a young woman who embarks on a solo honeymoon trip of self-discovery after her fiancé calls off their wedding.
- 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 Triple: [Queen & Slim, leadCharacter, Queen]
Generated description
Queen is the intelligent, principled female protagonist of the 2019 romantic crime drama film "Queen & Slim."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Target entity description: Queen is the intelligent, principled female protagonist of the 2019 romantic crime drama film "Queen & Slim."
-
A.
Queen
"Queen" is a 2014 Hindi-language coming-of-age comedy-drama film that follows a young woman who embarks on a solo honeymoon trip of self-discovery after her fiancé calls off their wedding.
-
B.
Queen
A queen is a female monarch who serves as the sovereign head of state in a monarchy.
-
C.
Queen
"Queen" is a 2018 pop single by British singer-songwriter Jessie J that promotes self-acceptance and body positivity.
-
D.
Queen
Queen is the fourth studio album by Trinidadian-born rapper and singer Nicki Minaj, showcasing her blend of hip hop, pop, and R&B.
-
E.
Queen
The Queen in Andrew Lloyd Webber's "Cinderella" is a regal, often comedic royal figure who embodies the story's satirical take on traditional fairy-tale monarchy and social expectations.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9b5fccc8190acc5ea778e19f7d5 |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aeabb52008190b62e3a83dbc3419b |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:45 p.m.