Triple
T4994881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Fang |
E112220
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Gray Beaver
Gray Beaver is a Native American man in Jack London’s novel "White Fang," known for owning and harshly training the wolf-dog protagonist.
|
E484870
|
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: Gray Beaver | Statement: [White Fang, hasCharacter, Gray Beaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gray Beaver Context triple: [White Fang, hasCharacter, Gray Beaver]
-
A.
Beaver
Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
-
B.
Beaver
Beaver is a small unincorporated community and census-designated place in Raleigh County, West Virginia, known for its residential character and proximity to the city of Beckley.
-
C.
Beaver
The Beaver is the official mascot of the California Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
D.
Beaver
Beaver is a small town in the Oklahoma Panhandle known for serving as the county seat of Beaver County and for its rural, agricultural character.
-
E.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
- 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: Gray Beaver Triple: [White Fang, hasCharacter, Gray Beaver]
Generated description
Gray Beaver is a Native American man in Jack London’s novel "White Fang," known for owning and harshly training the wolf-dog protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gray Beaver Target entity description: Gray Beaver is a Native American man in Jack London’s novel "White Fang," known for owning and harshly training the wolf-dog protagonist.
-
A.
Beaver
Beaver is a small unincorporated community and census-designated place in Raleigh County, West Virginia, known for its residential character and proximity to the city of Beckley.
-
B.
Beaver
The Beaver is the official mascot of the California Institute of Technology, symbolizing the school’s emphasis on engineering, ingenuity, and industriousness.
-
C.
Beaver
Beaver is a small borough in western Pennsylvania that serves as the administrative and commercial center of Beaver County.
-
D.
Beaver
Beaver is a small town in the Oklahoma Panhandle known for serving as the county seat of Beaver County and for its rural, agricultural character.
-
E.
Beaver
Beaver is a large, semiaquatic rodent known for building dams and lodges in freshwater habitats across North America and parts of Europe.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd729e9fb48190a467b6a373a73367 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a30bb988190939e1ca5226e1dd4 |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8b15879881908ec5ee997daca3cb |
completed | March 21, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8bc2fc088190a13995f9230adea2 |
completed | March 21, 2026, 12:14 p.m. |
Created at: March 20, 2026, 1:34 p.m.