Triple
T9720930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saeed Jaffrey |
E235467
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jennifer Sorrell
Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
|
E856872
|
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: Jennifer Sorrell | Statement: [Saeed Jaffrey, spouse, Jennifer Sorrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Sorrell Context triple: [Saeed Jaffrey, spouse, Jennifer Sorrell]
-
A.
Angela Quarles
Angela Quarles is a contemporary American author best known for her time-travel and paranormal romance novels.
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Cynthia Solomon
Cynthia Solomon is a pioneering computer scientist and educator best known for her foundational work in the development of educational programming languages for children, including co-creating Logo.
-
D.
Tracey Davis
Tracey Davis was an American author and the daughter of legendary entertainer Sammy Davis Jr., known for writing about her father's life and their complex family relationship.
-
E.
Laura Harris
Laura Harris is a Canadian actress known for her roles in films like "The Faculty" and TV series such as "24" and "Dead Like Me."
- 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: Jennifer Sorrell Triple: [Saeed Jaffrey, spouse, Jennifer Sorrell]
Generated description
Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Sorrell Target entity description: Jennifer Sorrell is best known as the wife of acclaimed Indian-British actor Saeed Jaffrey.
-
A.
Angela Quarles
Angela Quarles is a contemporary American author best known for her time-travel and paranormal romance novels.
-
B.
Larissa Weems
Larissa Weems is a character from the Netflix series "Wednesday," serving as the poised and enigmatic principal of Nevermore Academy.
-
C.
Cynthia Solomon
Cynthia Solomon is a pioneering computer scientist and educator best known for her foundational work in the development of educational programming languages for children, including co-creating Logo.
-
D.
Tracey Davis
Tracey Davis was an American author and the daughter of legendary entertainer Sammy Davis Jr., known for writing about her father's life and their complex family relationship.
-
E.
Laura Harris
Laura Harris is a Canadian actress known for her roles in films like "The Faculty" and TV series such as "24" and "Dead Like Me."
- 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_69ca84d0123c819096f9dc3b6abb0881 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e419c2c8190b325d5fd692c6000 |
completed | April 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fb63b7081909cb6faddd795ced6 |
completed | April 9, 2026, 7:05 a.m. |
| NEDg | Description generation | batch_69d751122d208190abaa4fd72a07643b |
completed | April 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d751d4aa908190a825322ebf0066af |
completed | April 9, 2026, 7:14 a.m. |
Created at: March 30, 2026, 8:20 p.m.