Triple
T6091351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarium Capital |
E135772
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Thiel Capital |
E136438
|
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: Thiel Capital | Statement: [Clarium Capital, associatedWith, Thiel Capital]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiel Capital Context triple: [Clarium Capital, associatedWith, Thiel Capital]
-
A.
Thiel Capital
chosen
Thiel Capital is an investment firm and family office managing the personal capital and strategic ventures of billionaire entrepreneur and investor Peter Thiel.
-
B.
Mohr Davidow Ventures
Mohr Davidow Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage technology and life sciences startups.
-
C.
Founders Fund
Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
-
D.
Khosla Ventures
Khosla Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage, high-risk technology and clean energy startups.
-
E.
Y Combinator
Y Combinator is a prominent Silicon Valley startup accelerator known for funding and mentoring early-stage technology companies such as Airbnb, Dropbox, and Stripe.
- 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_69c12531d764819083e1bb37d8c81a6c |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:12 p.m.