Triple
T14158953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaime Pressly |
E350885
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Simran Singh
Simran Singh is an entertainment lawyer best known for his former marriage to American actress Jaime Pressly.
|
E1086173
|
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: Simran Singh | Statement: [Jaime Pressly, spouse, Simran Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simran Singh Context triple: [Jaime Pressly, spouse, Simran Singh]
-
A.
Raj Kaur
Raj Kaur was the mother of Maharaja Ranjit Singh, the founder of the Sikh Empire in the early 19th century.
-
B.
Gursharan Kaur
Gursharan Kaur is an Indian public figure best known as the wife of former Prime Minister Manmohan Singh and for her role as India's First Lady from 2004 to 2014.
-
C.
Gurkiran Kaur Sidhu
Gurkiran Kaur Sidhu is a Canadian fashion designer and entrepreneur known for her work in custom bridal and traditional South Asian clothing.
-
D.
Padmanee Sharma
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
-
E.
Pawitter Kaur
Pawitter Kaur was the wife of Giani Zail Singh, the seventh President of India.
- 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: Simran Singh Triple: [Jaime Pressly, spouse, Simran Singh]
Generated description
Simran Singh is an entertainment lawyer best known for his former marriage to American actress Jaime Pressly.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simran Singh Target entity description: Simran Singh is an entertainment lawyer best known for his former marriage to American actress Jaime Pressly.
-
A.
Raj Kaur
Raj Kaur was the mother of Maharaja Ranjit Singh, the founder of the Sikh Empire in the early 19th century.
-
B.
Gursharan Kaur
Gursharan Kaur is an Indian public figure best known as the wife of former Prime Minister Manmohan Singh and for her role as India's First Lady from 2004 to 2014.
-
C.
Gurkiran Kaur Sidhu
Gurkiran Kaur Sidhu is a Canadian fashion designer and entrepreneur known for her work in custom bridal and traditional South Asian clothing.
-
D.
Padmanee Sharma
Padmanee Sharma is an American oncologist and immunologist known for her pioneering research in cancer immunotherapy and checkpoint blockade.
-
E.
Pawitter Kaur
Pawitter Kaur was the wife of Giani Zail Singh, the seventh President of India.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193b72f48190b80ac30d32ab8349 |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd19c945f88190a779ce00ccfff686 |
completed | May 7, 2026, 11:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b3e093481909d19cc024733660d |
completed | May 7, 2026, 11:07 p.m. |
Created at: April 10, 2026, 12:58 a.m.