Triple
T2020672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XIX Olympic Winter Games |
E44096
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object | Powder |
E44105
|
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: Powder | Statement: [XIX Olympic Winter Games, mascot, Powder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Powder Context triple: [XIX Olympic Winter Games, mascot, Powder]
-
A.
Powder
chosen
Powder is one of the three animal mascots of the 2002 Winter Olympics in Salt Lake City, represented as a snowshoe hare symbolizing speed and agility.
-
B.
Dust
Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
-
C.
Poison
Poison is a 2018 hip hop album by producer Swizz Beatz featuring a range of high-profile guest artists and a dark, hard-hitting sound.
-
D.
Black Opium
Black Opium is a popular Yves Saint Laurent fragrance known for its modern, addictive blend of coffee, vanilla, and white florals.
-
E.
Eat My Dust
Eat My Dust is a high-energy racing track featured in the game Mutable Set, known for its fast-paced design and competitive gameplay.
- 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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8d0bcbc8190bbbb726ecae1c51b |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af3f484819085e18a1f9c2e7f9a |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.