Triple
T7944532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoDaddy |
E184466
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Bob Parsons |
E697614
|
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: Bob Parsons | Statement: [GoDaddy, founder, Bob Parsons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Parsons Context triple: [GoDaddy, founder, Bob Parsons]
-
A.
Bob Parsons
chosen
Bob Parsons is an American entrepreneur and billionaire best known as the founder of the domain registrar and web hosting company GoDaddy.
-
B.
Ron Burkle
Ron Burkle is an American billionaire investor and co-founder of the private equity firm Yucaipa Companies, known for his extensive investments in retail, sports, and media.
-
C.
Barry Diller
Barry Diller is an American media and internet executive known for building major entertainment and digital companies, including leading Fox’s early expansion and later chairing IAC.
-
D.
Jonathan Tisch
Jonathan Tisch is an American businessman and philanthropist best known as the chairman and CEO of Loews Hotels and co-owner of the New York Giants.
-
E.
John Whitesell
John Whitesell is an American television and film director and producer known for his work on various TV series and feature comedies.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe024a7dc8190a8bd11f266ebbc96 |
completed | March 31, 2026, 2:54 p.m. |
Created at: March 30, 2026, 5:09 p.m.