Triple

T11705611
Position Surface form Disambiguated ID Type / Status
Subject The Wolf Among Us E278228 entity
Predicate supportingCharacter P7748 FINISHED
Object Bufkin
Bufkin is a small, winged, talking monkey who serves as a librarian and assistant in the Fabletown office in the video game "The Wolf Among Us."
E942477 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: Bufkin | Statement: [The Wolf Among Us, supportingCharacter, Bufkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bufkin
Context triple: [The Wolf Among Us, supportingCharacter, Bufkin]
  • A. Mr. Brownstone
    "Mr. Brownstone" is a hard rock song by Guns N' Roses, featured on their debut album Appetite for Destruction and known for its gritty depiction of heroin addiction.
  • B. Melvin
    Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
  • C. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • D. Melvin
    Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
  • E. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • 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: Bufkin
Triple: [The Wolf Among Us, supportingCharacter, Bufkin]
Generated description
Bufkin is a small, winged, talking monkey who serves as a librarian and assistant in the Fabletown office in the video game "The Wolf Among Us."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bufkin
Target entity description: Bufkin is a small, winged, talking monkey who serves as a librarian and assistant in the Fabletown office in the video game "The Wolf Among Us."
  • A. Mr. Brownstone
    "Mr. Brownstone" is a hard rock song by Guns N' Roses, featured on their debut album Appetite for Destruction and known for its gritty depiction of heroin addiction.
  • B. Melvin
    Melvin is the given first name of Mel Lastman, a prominent Canadian businessman and former longtime mayor of Toronto.
  • C. Melvin
    Melvin is the full given name of legendary American voice actor and comedian Mel Blanc, famed for voicing many iconic Looney Tunes characters.
  • D. Melvin
    Melvin is a masculine given name of English origin commonly used in various English-speaking countries.
  • E. Mr. Franks
    Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef836388bc8190827ce4af609d8b61 completed April 27, 2026, 3:40 p.m.
NEDg Description generation batch_69ef96b0169081909ad5c5d40a006e64 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb4dad6a481909a54511b6233993b completed April 27, 2026, 7:11 p.m.
Created at: April 8, 2026, 9:40 p.m.