Triple
T6091429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mithril Capital Management |
E135774
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Ajay Royan |
E569807
|
NE FINISHED |
How this triple was built (2 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: Ajay Royan | Statement: [Mithril Capital Management, hasFounder, Ajay Royan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ajay Royan Context triple: [Mithril Capital Management, hasFounder, Ajay Royan]
-
A.
Ajay Royan
chosen
Ajay Royan is a venture capitalist best known as the co-founder and managing partner of Mithril Capital Management, an investment firm he launched with Peter Thiel.
-
B.
Rohit Ghai
Rohit Ghai is a technology executive best known for serving as the CEO of cybersecurity company RSA Security.
-
C.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
-
D.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
E.
Prashant Dalvi
Prashant Dalvi is a prominent contemporary Marathi playwright known for his significant contributions to modern Marathi theatre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135879c988190bd35fa01674d6a15 |
completed | March 23, 2026, 12:43 p.m. |
Created at: March 22, 2026, 4:12 p.m.