Triple
T633128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish literature |
E15963
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Snow
"Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
|
E79010
|
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: Snow | Statement: [Turkish literature, notableWork, Snow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snow Context triple: [Turkish literature, notableWork, Snow]
-
A.
Frost
Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
-
B.
Avalanche and Blizzard
Avalanche and Blizzard are the high-performance and efficiency CPU core designs, respectively, used in Apple's second-generation M2 system-on-a-chip.
-
C.
Snowflake
Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
-
D.
Avalanche
Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
-
E.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
- 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: Snow Triple: [Turkish literature, notableWork, Snow]
Generated description
"Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snow Target entity description: "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
-
A.
Frost
Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
-
B.
Avalanche and Blizzard
Avalanche and Blizzard are the high-performance and efficiency CPU core designs, respectively, used in Apple's second-generation M2 system-on-a-chip.
-
C.
Snowflake
Snowflake is a cloud-based data warehousing platform known for its scalable, high-performance analytics and separation of storage and compute.
-
D.
Avalanche
Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
-
E.
Snowlets
Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec3b6488190aa0dce216c089a2e |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4efbe08190aadee9964901a368 |
completed | March 2, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_69a56ccb53408190a4ddc62c15ed206b |
completed | March 2, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56d236e388190b0ff9a6b8c296e2d |
completed | March 2, 2026, 10:57 a.m. |
Created at: March 1, 2026, 7:35 p.m.