Triple
T14974552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Broadus |
E373409
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coolaid |
E75396
|
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: Coolaid | Statement: [Calvin Broadus, notableWork, Coolaid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coolaid Context triple: [Calvin Broadus, notableWork, Coolaid]
-
A.
Coolaid
chosen
Coolaid is a 2016 studio album by American rapper Snoop Dogg that marks a return to his classic West Coast G-funk sound.
-
B.
Nuka-Cola
Nuka-Cola is a fictional, highly recognizable soft drink brand in the Fallout video game universe, symbolizing the series’ retro-futuristic, post-apocalyptic setting.
-
C.
Smartwater
Smartwater is a popular premium bottled water brand known for its vapor-distilled water with added electrolytes for taste, marketed as a clean, crisp hydration option.
-
D.
LaQua
LaQua is a popular spa, shopping, and entertainment complex within Tokyo Dome City, known for its natural hot spring baths, restaurants, and attractions.
-
E.
Gala Water
Gala Water is a river in the Scottish Borders that flows through the town of Galashiels before joining the River Tweed.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beac05c8190bf19ec8bd1eab2d8 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:51 a.m.