Triple
T23092227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Thiel |
E575787
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Thiel |
E135771
|
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 | Statement: [Wolfgang Thiel, familyName, Thiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiel Context triple: [Wolfgang Thiel, familyName, Thiel]
-
A.
Thiel
chosen
Thiel is the surname of Peter Thiel, the German-American billionaire entrepreneur, venture capitalist, and co-founder of PayPal and Palantir Technologies.
-
B.
Thiel Capital
Thiel Capital is an investment firm and family office managing the personal capital and strategic ventures of billionaire entrepreneur and investor Peter Thiel.
-
C.
Thiel College
Thiel College is a private liberal arts college located in Mercer County, Pennsylvania, known for its undergraduate programs in the arts and sciences.
-
D.
Thiel Fellowship
The Thiel Fellowship is a program that awards young people funding and support to leave or skip college and work full-time on entrepreneurial or scientific projects.
-
E.
Tepper
Tepper is a surname most prominently associated with American billionaire hedge fund manager and Carolina Panthers owner David Tepper.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dac48dc8190b985ce6b1730fe63 |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 3:57 p.m.