Triple
T16051390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuey Rhon Rhon |
E389359
|
entity |
| Predicate | nameMeaning |
P453
|
FINISHED |
| Object | ‘Shuey’ relates to snow |
E649273
|
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: ‘Shuey’ relates to snow | Statement: [Shuey Rhon Rhon, nameMeaning, ‘Shuey’ relates to snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ‘Shuey’ relates to snow Context triple: [Shuey Rhon Rhon, nameMeaning, ‘Shuey’ relates to snow]
-
A.
Snowy
Snowy is Tintin’s loyal white Wire Fox Terrier companion, known for his bravery, wit, and occasional fondness for whiskey in the comic series "The Adventures of Tintin."
-
B.
Snow
"Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
-
C.
Snow
chosen
Snow is a common English surname borne by various notable figures in literature, science, and public life.
-
D.
Snow
"Snow" is a festive song from the 1954 musical film *White Christmas*, celebrated for its nostalgic lyrics about the beauty and romance of wintertime snowfall.
-
E.
Snow
Snow is frozen atmospheric precipitation in the form of ice crystals that accumulate on the ground, often creating white, wintry landscapes.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183627bd88190bf94054de13a7733 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe095908190ba10399ad6f3b5f8 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.