Triple
T14240171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boy with the Topknot |
E352982
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Manpreet Bambra
Manpreet Bambra is a British actress known for her roles in television dramas and teen series, including the BBC adaptation "The Boy with the Topknot."
|
E1087585
|
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: Manpreet Bambra | Statement: [The Boy with the Topknot, castMember, Manpreet Bambra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manpreet Bambra Context triple: [The Boy with the Topknot, castMember, Manpreet Bambra]
-
A.
Pawitter Kaur
Pawitter Kaur was the wife of Giani Zail Singh, the seventh President of India.
-
B.
Jesminder "Jess" Bhamra
Jesminder "Jess" Bhamra is a British-Indian teenager passionate about football who challenges cultural and familial expectations to pursue her dream of playing the sport professionally.
-
C.
Simran Singh
Simran Singh is an entertainment lawyer best known for his former marriage to American actress Jaime Pressly.
-
D.
Padmanee Sharma
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
-
E.
Raj Kaur
Raj Kaur was the mother of Maharaja Ranjit Singh, the founder of the Sikh Empire in the early 19th century.
- 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: Manpreet Bambra Triple: [The Boy with the Topknot, castMember, Manpreet Bambra]
Generated description
Manpreet Bambra is a British actress known for her roles in television dramas and teen series, including the BBC adaptation "The Boy with the Topknot."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manpreet Bambra Target entity description: Manpreet Bambra is a British actress known for her roles in television dramas and teen series, including the BBC adaptation "The Boy with the Topknot."
-
A.
Pawitter Kaur
Pawitter Kaur was the wife of Giani Zail Singh, the seventh President of India.
-
B.
Jesminder "Jess" Bhamra
Jesminder "Jess" Bhamra is a British-Indian teenager passionate about football who challenges cultural and familial expectations to pursue her dream of playing the sport professionally.
-
C.
Simran Singh
Simran Singh is an entertainment lawyer best known for his former marriage to American actress Jaime Pressly.
-
D.
Padmanee Sharma
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
-
E.
Raj Kaur
Raj Kaur was the mother of Maharaja Ranjit Singh, the founder of the Sikh Empire in the early 19th century.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282183308190b63172972773b3c2 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd29fd7cdc8190bd210f3b27f935c0 |
completed | May 8, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2bc719ac8190b2b8726c70d811dd |
completed | May 8, 2026, 12:18 a.m. |
Created at: April 10, 2026, 1:08 a.m.