Triple

T14050051
Position Surface form Disambiguated ID Type / Status
Subject Morgause E338062 entity
Predicate alternateName P39 FINISHED
Object Morgoz
Morgoz is an alternate name for Morgause, a prominent sorceress and half-sister of King Arthur in Arthurian legend.
 E1076705 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: Morgoz | Statement: [Morgause, alternateName, Morgoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgoz
Context triple: [Morgause, alternateName, Morgoz]
  • A. Morg
    Morg is a powerful Marvel Comics supervillain who served as one of Galactus’s most ruthless and brutal heralds.
  • B. Mogilny
    Mogilny is the surname of Alexander Mogilny, a prominent Russian-born former professional ice hockey player and NHL star.
  • C. Gornomari
    Gornomari is another name for the Hill Mari language, a Uralic language spoken by the Hill Mari people in Russia’s Mari El Republic.
  • D. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • E. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • 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: Morgoz
Triple: [Morgause, alternateName, Morgoz]
Generated description
Morgoz is an alternate name for Morgause, a prominent sorceress and half-sister of King Arthur in Arthurian legend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgoz
Target entity description: Morgoz is an alternate name for Morgause, a prominent sorceress and half-sister of King Arthur in Arthurian legend.
  • A. Morg
    Morg is a powerful Marvel Comics supervillain who served as one of Galactus’s most ruthless and brutal heralds.
  • B. Mogilny
    Mogilny is the surname of Alexander Mogilny, a prominent Russian-born former professional ice hockey player and NHL star.
  • C. Gornomari
    Gornomari is another name for the Hill Mari language, a Uralic language spoken by the Hill Mari people in Russia’s Mari El Republic.
  • D. Mazyr
    Mazyr is an industrial city in southern Belarus known for its oil refinery and location on the Pripyat River.
  • E. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
NEDg Description generation batch_69fc4654f96c8190a4fa6a12bdfbec33 completed May 7, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69fc4777e13c8190a705d44d20ca2ca5 completed May 7, 2026, 8:04 a.m.
Created at: April 9, 2026, 10:20 p.m.