Triple

T6875264
Position Surface form Disambiguated ID Type / Status
Subject American Gods E158656 entity
Predicate character P662 FINISHED
Object Czernobog
Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
E625829 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: Czernobog | Statement: [American Gods, character, Czernobog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czernobog
Context triple: [American Gods, character, Czernobog]
  • A. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • B. Chernomor
    Chernomor is a villainous sorcerer with a long magical beard who abducts the heroine in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • C. Shvabrin
    Shvabrin is a key character in Alexander Pushkin's historical novel "The Captain's Daughter," known for his duplicitous and antagonistic role in the story.
  • D. Vahcuengh
    Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
  • E. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • 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: Czernobog
Triple: [American Gods, character, Czernobog]
Generated description
Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Czernobog
Target entity description: Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
  • A. Zhmigrod
    Zhmigrod is a Hasidic dynasty that traces its spiritual lineage to the Sanz Hasidic court.
  • B. Chernomor
    Chernomor is a villainous sorcerer with a long magical beard who abducts the heroine in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
  • C. Shvabrin
    Shvabrin is a key character in Alexander Pushkin's historical novel "The Captain's Daughter," known for his duplicitous and antagonistic role in the story.
  • D. Vahcuengh
    Vahcuengh is the native autonym and standardized written form of the Zhuang language, a Tai language spoken primarily in Guangxi, China.
  • E. Dragna
    Dragna is a mysterious and menacing underworld boss who orchestrates the central deadly assignment in the crime thriller film "The Bag Man."
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c9e7b481909079b0f1fb1bc217 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c742b66ca08190bed17fa3ab6733ef completed March 28, 2026, 2:53 a.m.
NEDg Description generation batch_69c7441117ec8190b9b355c474289010 completed March 28, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69c744a20bd481908a7c6aaa6383a68f completed March 28, 2026, 3:01 a.m.
Created at: March 27, 2026, 2:22 p.m.