Triple

T19985081
Position Surface form Disambiguated ID Type / Status
Subject Azkaban E493911 entity
Predicate notableInmate P22 FINISHED
Object Mulciber
Mulciber is a Death Eater from the Harry Potter series, known for his skill with the Imperius Curse and his imprisonment after Voldemort’s first downfall.
 E1405715 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: Mulciber | Statement: [Azkaban, notableInmate, Mulciber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mulciber
Context triple: [Azkaban, notableInmate, Mulciber]
  • A. Mor'du
    Mor'du is the monstrous, cursed bear and primary antagonist in Disney-Pixar's animated film "Brave."
  • B. Mulgarath
    Mulgarath is the primary shapeshifting ogre antagonist in The Spiderwick Chronicles, seeking to obtain a powerful field guide to dominate the magical world.
  • C. Orcival
    Orcival is a small historic village in central France’s Auvergne region, known for its Romanesque basilica and scenic mountain surroundings.
  • D. Araglas
    Araglas is a lesser-known Dúnedain noble of Númenórean descent from J.R.R. Tolkien’s legendarium, belonging to the royal line of Isildur.
  • E. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • 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: Mulciber
Triple: [Azkaban, notableInmate, Mulciber]
Generated description
Mulciber is a Death Eater from the Harry Potter series, known for his skill with the Imperius Curse and his imprisonment after Voldemort’s first downfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mulciber
Target entity description: Mulciber is a Death Eater from the Harry Potter series, known for his skill with the Imperius Curse and his imprisonment after Voldemort’s first downfall.
  • A. Mor'du
    Mor'du is the monstrous, cursed bear and primary antagonist in Disney-Pixar's animated film "Brave."
  • B. Mulgarath
    Mulgarath is the primary shapeshifting ogre antagonist in The Spiderwick Chronicles, seeking to obtain a powerful field guide to dominate the magical world.
  • C. Orcival
    Orcival is a small historic village in central France’s Auvergne region, known for its Romanesque basilica and scenic mountain surroundings.
  • D. Araglas
    Araglas is a lesser-known Dúnedain noble of Númenórean descent from J.R.R. Tolkien’s legendarium, belonging to the royal line of Isildur.
  • E. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d162b008190a18d325796d75d77 completed April 20, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804fb67ac819083a9dd9c11651acd completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806fe43148190820bc3246c6697db completed May 16, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_6a08075f1a48819082f217db39841fdb completed May 16, 2026, 5:57 a.m.
Created at: April 11, 2026, 3:29 p.m.