Triple
T13425201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthropic |
E313461
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Shibani Santurkar
Shibani Santurkar is a computer scientist and AI researcher known for her work on machine learning robustness and safety, and as a co-founder of the AI safety company Anthropic.
|
E1040745
|
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: Shibani Santurkar | Statement: [Anthropic, foundedBy, Shibani Santurkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shibani Santurkar Context triple: [Anthropic, foundedBy, Shibani Santurkar]
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Sonali Kulkarni
Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
-
C.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
D.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
E.
Sobhita Dhulipala
Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
- 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: Shibani Santurkar Triple: [Anthropic, foundedBy, Shibani Santurkar]
Generated description
Shibani Santurkar is a computer scientist and AI researcher known for her work on machine learning robustness and safety, and as a co-founder of the AI safety company Anthropic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shibani Santurkar Target entity description: Shibani Santurkar is a computer scientist and AI researcher known for her work on machine learning robustness and safety, and as a co-founder of the AI safety company Anthropic.
-
A.
Shefali Chowdhury
Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
-
B.
Sonali Kulkarni
Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
-
C.
Anvita Abbi
Anvita Abbi is an Indian linguist renowned for her pioneering work on the endangered languages of the Andaman Islands and other lesser-known South Asian languages.
-
D.
Ambika Suri
Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
-
E.
Sobhita Dhulipala
Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed066408190a416880affd8416e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398984f48190adaa1963d261d538 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b4052188190bfb583380460adab |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73c0e01288190be3e3abc73df7780 |
completed | May 3, 2026, 12:14 p.m. |
Created at: April 9, 2026, 9:40 p.m.