Triple
T14437383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoppy-dori |
E357999
|
entity |
| Predicate | popularDrink |
P4038
|
FINISHED |
| Object | Hoppy |
E357999
|
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: Hoppy | Statement: [Hoppy-dori, popularDrink, Hoppy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoppy Context triple: [Hoppy-dori, popularDrink, Hoppy]
-
A.
Hoppy
Hoppy is the fictional dinosaur-like family pet of the Rubbles in the animated television series "The Flintstones."
-
B.
Hoppy-dori
chosen
Hoppy-dori is a lively street in Tokyo’s Asakusa district known for its retro izakayas and bars serving the low-alcohol beer-flavored drink “Hoppy.”
-
C.
Hoppy Daze
Hoppy Daze is a classic Warner Bros. Looney Tunes cartoon short featuring the kangaroo character Hippety Hopper in a comedic storyline.
-
D.
Beery
Beery is a surname most notably associated with the American acting family that includes character actor Noah Beery and his relatives.
-
E.
Bock
Bock is a German-origin surname borne by various notable individuals across fields such as science, the military, and the arts.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd7f46881908df1a1cea7b6af9b |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.