Triple
T3495389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitchin Bajas |
E73837
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Rob Frye |
E362373
|
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: Rob Frye | Statement: [Bitchin Bajas, hasMember, Rob Frye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Frye Context triple: [Bitchin Bajas, hasMember, Rob Frye]
-
A.
Rob Frye
chosen
Rob Frye is a multi-instrumentalist and composer known for his work in experimental, jazz, and folk-influenced music projects.
-
B.
Mike Henry
Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
-
C.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
D.
Joel Fry
Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
-
E.
Ryan Walter
Ryan Walter is a former Canadian NHL center and Stanley Cup champion who later became a coach and broadcaster.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e67f68081909766d78ee24e9e6e |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.