Triple
T21302269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Sigler |
E525096
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Christopher Berner |
—
|
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: Christopher Berner | Statement: [Eric Sigler, coAuthorWith, Christopher Berner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Berner Context triple: [Eric Sigler, coAuthorWith, Christopher Berner]
-
A.
Christopher Berner
chosen
Christopher Berner is a researcher and engineer known for his work at OpenAI on large-scale machine learning and language models.
-
B.
Eric Goudy
Eric Goudy is a motorsport journalist known for his contributions to racing coverage and analysis.
-
C.
Paul Renner
Paul Renner was a German type designer and graphic artist best known for creating the influential geometric sans-serif typeface Futura.
-
D.
Steven Heller
Steven Heller is an American art director, author, and educator best known for his influential writings and leadership in the fields of graphic design and visual culture.
-
E.
Austin Caxton
Austin Caxton is a central fictional character in Edward Bulwer-Lytton’s novel "The Caxtons," around whom much of the family-centered narrative revolves.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385cd6308190bf300494833b048f |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.