Triple
T13843082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Bee |
E332715
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | French Blue |
E678902
|
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: French Blue | Statement: [French Bee, formerName, French Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: French Blue Context triple: [French Bee, formerName, French Blue]
-
A.
French Blue
chosen
French Blue was a legendary large blue diamond from the French Crown Jewels, later recut and famously known as the Hope Diamond.
-
B.
Imperial Blue
Imperial Blue is a popular Indian whisky brand known for its smooth blend of Indian grain spirits and imported Scotch malts, marketed primarily in the value and mid-range segments.
-
C.
Camel Blue
Camel Blue is a popular lighter-tar, filtered cigarette variety in the Camel brand’s product line.
-
D.
Crome Yellow
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.
-
E.
Oxford blue
Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ef9e7c8190b96c2b83d04708e1 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:13 p.m.