Triple
T18689921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgar the Bug |
E456963
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Ed Solomon |
—
|
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: Ed Solomon | Statement: [Edgar the Bug, createdBy, Ed Solomon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Solomon Context triple: [Edgar the Bug, createdBy, Ed Solomon]
-
A.
Ed Solomon
chosen
Ed Solomon is an American screenwriter and filmmaker best known for co-writing hit films such as "Men in Black" and the "Bill & Ted" series.
-
B.
Andrew Solt
Andrew Solt was a Hungarian-American screenwriter and producer best known for his work on mid-20th-century films and later for creating music-related documentaries and television programs.
-
C.
Sam Koppelman
Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
-
D.
Matthew Salsberg
Matthew Salsberg is a television writer and producer best known for his work on the dark comedy series "Weeds."
-
E.
Josh Sussman
Josh Sussman is an American actor best known for his recurring roles on the television series "Glee" and "Wizards of Waverly Place."
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e28e5c8190b0033c1667d50e05 |
completed | April 19, 2026, 11:18 p.m. |
Created at: April 10, 2026, 11:49 a.m.