Triple
T5768583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DuckDuckGo |
E127271
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Gabriel Weinberg |
E544024
|
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: Gabriel Weinberg | Statement: [DuckDuckGo, founder, Gabriel Weinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Weinberg Context triple: [DuckDuckGo, founder, Gabriel Weinberg]
-
A.
Gabriel Weinberg
chosen
Gabriel Weinberg is an American entrepreneur and software engineer best known as the founder and CEO of the privacy-focused search engine DuckDuckGo.
-
B.
Noah Goldstein
Noah Goldstein is a Grammy-winning recording engineer and producer known for his extensive work with Kanye West and other major hip-hop and pop artists.
-
C.
Noah Goldstein
Noah Goldstein is an author known for his work related to violent crime themes.
-
D.
Uriel Frisch
Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
-
E.
Benjamin Kubelsky
Benjamin Kubelsky, better known as Jack Benny, was a hugely influential American comedian, vaudevillian, radio and television star renowned for his impeccable timing, stingy persona, and enduring impact on 20th-century entertainment.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02974ae2c8190aee5ee61fc69ad79 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfa363208190aac75f028fb7a630 |
completed | March 23, 2026, 4:20 a.m. |
Created at: March 22, 2026, 3:49 p.m.