Triple
T12874293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross-Country Snow |
E307925
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
George
George is a character in the Tintin comic "Cross-Country Snow," appearing as part of the story’s supporting cast.
|
E1006407
|
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: George | Statement: [Cross-Country Snow, featuresCharacter, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [Cross-Country Snow, featuresCharacter, George]
-
A.
George
George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
-
B.
George
George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
-
C.
George
George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
-
D.
George
George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
-
E.
George
George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
- 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: George Triple: [Cross-Country Snow, featuresCharacter, George]
Generated description
George is a character in the Tintin comic "Cross-Country Snow," appearing as part of the story’s supporting cast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is a character in the Tintin comic "Cross-Country Snow," appearing as part of the story’s supporting cast.
-
A.
George
George is one of the main child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and love of adventure.
-
B.
George
George is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and love of adventure.
-
C.
George
George is one of the central child detectives in Enid Blyton’s classic Secret Seven mystery series.
-
D.
George
George is a person or character notable primarily for being portrayed as an adversary of Lodac.
-
E.
George
George is one of the adventurous child protagonists in Enid Blyton’s Famous Five series, known for her tomboyish nature, courage, and strong-willed independence.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970f87aa48190a7234424a6badef0 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bac0c1081909217d865aa8bf9a3 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69cc60c488190a5a71e25c075e9ff |
completed | May 3, 2026, 12:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69d845a9081909b40562825c1c500 |
completed | May 3, 2026, 12:57 a.m. |
Created at: April 9, 2026, 5:38 p.m.