Triple
T16527648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajkummar Rao |
E401481
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E1218680
|
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: [Rajkummar Rao, notableWork, Queen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Queen Context triple: [Rajkummar Rao, notableWork, Queen]
-
A.
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."
-
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's
Queen's is a prestigious public research university located in Kingston, Ontario, Canada, known for its strong academic programs and historic campus.
- 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: [Rajkummar Rao, notableWork, Queen]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Queen Target entity description: "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.
-
A.
Queen
A queen is a female monarch who serves as the sovereign head of state in a monarchy.
-
B.
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."
-
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's
Queen's is a prestigious public research university located in Kingston, Ontario, Canada, known for its strong academic programs and historic campus.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0062cbe9048190823db47a42dac26a |
completed | May 10, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00635f57c08190ad915082b00b0f88 |
completed | May 10, 2026, 10:52 a.m. |
Created at: April 10, 2026, 5:14 a.m.