Triple
T18785475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowy the polar bear |
E459362
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object |
Snowy
Snowy is a polar bear character typically depicted as a friendly, white-furred bear often used in educational or entertainment contexts.
|
E1342671
|
NE FINISHED |
How this triple was built (4 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: Snowy | Statement: [Snowy the polar bear, commonName, Snowy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snowy Context triple: [Snowy the polar bear, commonName, Snowy]
-
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.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
C.
Snowfall
"Snowfall" is a song by the indie rock band The Halo Benders, known for their offbeat, lo-fi sound and Doug Martsch’s distinctive vocals.
-
D.
Snowdown
Snowdown is a former coal mining village in the Kent coalfield of southeast England, historically centered around Snowdown Colliery and its mining community.
-
E.
Snow
Snow is a common English surname borne by various notable figures in literature, science, and public life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Snowy Triple: [Snowy the polar bear, commonName, Snowy]
Generated description
Snowy is a polar bear character typically depicted as a friendly, white-furred bear often used in educational or entertainment contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snowy Target entity description: Snowy is a polar bear character typically depicted as a friendly, white-furred bear often used in educational or entertainment contexts.
-
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.
Snowfall
Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
-
C.
Snowfall
"Snowfall" is a song by the indie rock band The Halo Benders, known for their offbeat, lo-fi sound and Doug Martsch’s distinctive vocals.
-
D.
Snowdown
Snowdown is a former coal mining village in the Kent coalfield of southeast England, historically centered around Snowdown Colliery and its mining community.
-
E.
Snow
Snow is a common English surname borne by various notable figures in literature, science, and public life.
- F. None of above. chosen
Provenance (5 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5978154ac819096356d2a488b45f0 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05471ae8fc8190a18870af6b487105 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054abe671c8190b9ef2d324fe23a96 |
completed | May 14, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054b2bf4848190ae3329f47c30210c |
completed | May 14, 2026, 4:10 a.m. |
Created at: April 10, 2026, 11:52 a.m.