Triple
T9527381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirin |
E229793
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Shirin David
Shirin David is a German rapper, singer, and social media personality known for her chart-topping hip-hop tracks and prominent presence in the German entertainment industry.
|
E806213
|
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: Shirin David | Statement: [Shirin, notableBearer, Shirin David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirin David Context triple: [Shirin, notableBearer, Shirin David]
-
A.
Dina Dalal
Dina Dalal is a fiercely independent, middle-aged Parsi widow in Mumbai whose struggle to maintain autonomy amid political turmoil and social injustice forms the emotional core of Rohinton Mistry’s novel *A Fine Balance*.
-
B.
Nora Chavooshian
Nora Chavooshian is an American production designer and art director known for her work in film and television.
-
C.
Neda Armian
Neda Armian is a film producer best known for her work on acclaimed independent films such as "Rachel Getting Married."
-
D.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
E.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
- 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: Shirin David Triple: [Shirin, notableBearer, Shirin David]
Generated description
Shirin David is a German rapper, singer, and social media personality known for her chart-topping hip-hop tracks and prominent presence in the German entertainment industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirin David Target entity description: Shirin David is a German rapper, singer, and social media personality known for her chart-topping hip-hop tracks and prominent presence in the German entertainment industry.
-
A.
Dina Dalal
Dina Dalal is a fiercely independent, middle-aged Parsi widow in Mumbai whose struggle to maintain autonomy amid political turmoil and social injustice forms the emotional core of Rohinton Mistry’s novel *A Fine Balance*.
-
B.
Nora Chavooshian
Nora Chavooshian is an American production designer and art director known for her work in film and television.
-
C.
Neda Armian
Neda Armian is a film producer best known for her work on acclaimed independent films such as "Rachel Getting Married."
-
D.
Sheila Kahn
Sheila Kahn is a member of the Kahn family, related to renowned American value investor Irving Kahn.
-
E.
Anna Kashfi
Anna Kashfi was a British-Indian actress and the first wife of Hollywood star Marlon Brando.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd989c831081908877e42f7ead84ba |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c2710b481909a13d946f6dd5b2d |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14e49c97481909a1bab1b4d482194 |
completed | April 4, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14ee1fcdc8190bf23a3af97f0ba39 |
completed | April 4, 2026, 5:48 p.m. |
Created at: March 30, 2026, 8 p.m.