Triple
T18207136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crome |
E435934
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Crome Yellow |
—
|
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: Crome Yellow | Statement: [Crome, appearsIn, Crome Yellow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crome Yellow Context triple: [Crome, appearsIn, Crome Yellow]
-
A.
Crome Yellow
chosen
Crome Yellow is Aldous Huxley’s satirical 1921 novel that lampoons English upper-class society and intellectual pretensions through the events at a country house gathering.
-
B.
French Blue
French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
-
C.
Camel Blue
Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
-
D.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
-
E.
Dartmouth green
Dartmouth green is the distinctive dark green color traditionally associated with Dartmouth College and used prominently in its branding and athletic uniforms.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2243de081908a5bcc7e2072eae7 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.