Triple
T22028472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Weinberg |
E544024
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gabriel Weinberg |
—
|
NE NERFINISHED |
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: [Gabriel Weinberg, name, Gabriel Weinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Weinberg Context triple: [Gabriel Weinberg, name, 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.
Asher Weiss
Asher Weiss is a prominent contemporary Haredi rabbi and posek (halachic authority) known for his widely respected responsa and lectures on Jewish law.
-
C.
Gabriel Weinstein
Gabriel Weinstein is an actor best known for playing the character Trash.
-
D.
Jonathan Meiburg
Jonathan Meiburg is an American musician, writer, and ornithologist best known as the frontman of the band Shearwater and for his atmospheric, nature-inspired indie rock.
-
E.
Jonah Edelman
Jonah Edelman is an American education reform advocate and co-founder of the nonprofit organization Stand for Children, known for his work on public school policy and advocacy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cdf5c08190ac804664d6e56fe2 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:24 p.m.