Triple
T17565202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelwyn |
E427792
|
entity |
| Predicate | coexistsWith |
P1867
|
FINISHED |
| Object | Brownies |
—
|
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: Brownies | Statement: [Nelwyn, coexistsWith, Brownies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brownies Context triple: [Nelwyn, coexistsWith, Brownies]
-
A.
Brownies
chosen
The Brownies was an informal nickname for the St. Louis Browns, a former Major League Baseball team that later became the Baltimore Orioles.
-
B.
Brownie
Brownie is a fictional character from Frederick Buechner’s novel sequence *The Book of Bebb*, which centers on the eccentric evangelist Leo Bebb and his circle.
-
C.
Brownie No. 2
Brownie No. 2 is an early, popular box camera produced by Kodak that helped make snapshot photography widely accessible to the general public.
-
D.
Comegalletas
Comegalletas is the Spanish-language version of Cookie Monster, a blue, cookie-obsessed Muppet character from the children's television series Plaza Sésamo.
-
E.
Vanilla Fudge
Vanilla Fudge is an American rock band formed in the 1960s, best known for its heavy, psychedelic reworkings of contemporary pop and soul songs.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.