Triple
T4110295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Wilson |
E88555
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Sakina Ansari
Sakina Ansari is a daughter of the acclaimed American playwright August Wilson.
|
E414021
|
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: Sakina Ansari | Statement: [August Wilson, hasChild, Sakina Ansari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sakina Ansari Context triple: [August Wilson, hasChild, Sakina Ansari]
-
A.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
B.
Dimple Kapadia
Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
-
C.
Karisma Kapoor
Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
-
D.
Neeru Khosla
Neeru Khosla is an Indian-American education advocate and co-founder of the nonprofit digital learning platform CK-12 Foundation.
-
E.
Rani Mukerji
Rani Mukerji is an acclaimed Indian film actress known for her versatile performances in numerous successful Hindi movies since the late 1990s.
- 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: Sakina Ansari Triple: [August Wilson, hasChild, Sakina Ansari]
Generated description
Sakina Ansari is a daughter of the acclaimed American playwright August Wilson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sakina Ansari Target entity description: Sakina Ansari is a daughter of the acclaimed American playwright August Wilson.
-
A.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
B.
Dimple Kapadia
Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
-
C.
Karisma Kapoor
Karisma Kapoor is an acclaimed Indian film actress best known for her leading roles in popular Hindi movies of the 1990s and early 2000s.
-
D.
Neeru Khosla
Neeru Khosla is an Indian-American education advocate and co-founder of the nonprofit digital learning platform CK-12 Foundation.
-
E.
Rani Mukerji
Rani Mukerji is an acclaimed Indian film actress known for her versatile performances in numerous successful Hindi movies since the late 1990s.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01dbe9808190aefdc89e426cc4de |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b88228c8190ae971b54148e38a9 |
completed | March 14, 2026, 2:07 p.m. |
| NEDg | Description generation | batch_69b56cbf12348190836f79e509468a3d |
completed | March 14, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b570aef9008190bf8ef2deb00178ae |
completed | March 14, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:41 p.m.