Triple

T15359319
Position Surface form Disambiguated ID Type / Status
Subject Freedom’s Goblin E367246 entity
Predicate hasTrack P3284 FINISHED
Object Fanny Dog
Fanny Dog is a song by Ty Segall from his album "Freedom’s Goblin," known for its energetic, fuzz-heavy rock sound.
E1153244 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: Fanny Dog | Statement: [Freedom’s Goblin, hasTrack, Fanny Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanny Dog
Context triple: [Freedom’s Goblin, hasTrack, Fanny Dog]
  • A. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • B. Fang the Dog
    Fang the Dog is a canine film actor best known for appearing in early 20th-century Westerns and adventure movies.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Fay Maltese
    Fay Maltese was the first wife of American actor Gene Hackman, with whom she was married for several decades before their divorce.
  • E. Flossie
    Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
  • 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: Fanny Dog
Triple: [Freedom’s Goblin, hasTrack, Fanny Dog]
Generated description
Fanny Dog is a song by Ty Segall from his album "Freedom’s Goblin," known for its energetic, fuzz-heavy rock sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fanny Dog
Target entity description: Fanny Dog is a song by Ty Segall from his album "Freedom’s Goblin," known for its energetic, fuzz-heavy rock sound.
  • A. Beasley the Dog
    Beasley the Dog was the canine actor best known for playing the slobbery Dogue de Bordeaux partner to Tom Hanks in the 1989 film "Turner & Hooch."
  • B. Fang the Dog
    Fang the Dog is a canine film actor best known for appearing in early 20th-century Westerns and adventure movies.
  • C. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • D. Fay Maltese
    Fay Maltese was the first wife of American actor Gene Hackman, with whom she was married for several decades before their divorce.
  • E. Flossie
    Flossie is a film associated with Swedish cinematographer and director Mac Ahlberg, known for his work in European genre cinema.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b47f20081909ef7b077458d1510 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0dde2ec48190aac70b0513fb1847 completed May 9, 2026, 10:35 a.m.
NED2 Entity disambiguation (via description) batch_69ff0e5eabf08190811d8a91bfe0de76 completed May 9, 2026, 10:37 a.m.
Created at: April 10, 2026, 3:18 a.m.