Triple

T15289892
Position Surface form Disambiguated ID Type / Status
Subject Helheim E365498 entity
Predicate sometimesConfusedWith P2289 FINISHED
Object Christian Hell
Christian Hell is a concept in Christian theology referring to the eternal state of punishment and separation from God for the damned.
E1147874 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: Christian Hell | Statement: [Helheim, sometimesConfusedWith, Christian Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Hell
Context triple: [Helheim, sometimesConfusedWith, Christian Hell]
  • A. Eric Draven
    Eric Draven is the vengeful, resurrected rock musician and antihero from the dark fantasy film and comic series "The Crow."
  • B. Christian Rein
    Christian Rein is a cinematographer best known for his work on the romantic comedy-drama film "Love, Rosie."
  • C. Karl Blodig
    Karl Blodig was a pioneering Austrian mountaineer and ophthalmologist renowned as one of the first climbers to ascend all major Alpine peaks over 4,000 meters.
  • D. Nal Kalchbrenner
    Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
  • E. Christian Wagner
    Christian Wagner is a film editor known for his work on major Hollywood productions, including the superhero film "The Suicide Squad."
  • 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: Christian Hell
Triple: [Helheim, sometimesConfusedWith, Christian Hell]
Generated description
Christian Hell is a concept in Christian theology referring to the eternal state of punishment and separation from God for the damned.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christian Hell
Target entity description: Christian Hell is a concept in Christian theology referring to the eternal state of punishment and separation from God for the damned.
  • A. Eric Draven
    Eric Draven is the vengeful, resurrected rock musician and antihero from the dark fantasy film and comic series "The Crow."
  • B. Christian Rein
    Christian Rein is a cinematographer best known for his work on the romantic comedy-drama film "Love, Rosie."
  • C. Karl Blodig
    Karl Blodig was a pioneering Austrian mountaineer and ophthalmologist renowned as one of the first climbers to ascend all major Alpine peaks over 4,000 meters.
  • D. Nal Kalchbrenner
    Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
  • E. Christian Wagner
    Christian Wagner is a film editor known for his work on major Hollywood productions, including the superhero film "The Suicide Squad."
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e5635b4819092a69b5806d15bff completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7d4da4819080f101c3a525ea11 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef050d1588190942e1d3f3083607a completed May 9, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69fef19d55588190b816d4c37f3a7010 completed May 9, 2026, 8:34 a.m.
Created at: April 10, 2026, 3:15 a.m.