Triple

T11036695
Position Surface form Disambiguated ID Type / Status
Subject Queen of the Damned E260903 entity
Predicate character P662 FINISHED
Object Akasha
Akasha is the powerful and ancient vampire queen who serves as the primary antagonist in Anne Rice's novel and its film adaptation "Queen of the Damned."
E900689 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: Akasha | Statement: [Queen of the Damned, character, Akasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akasha
Context triple: [Queen of the Damned, character, Akasha]
  • A. Oxeia
    Oxeia is a small Greek island in the Ionian Sea, part of the Echinades archipelago known for its rugged coastline and relatively untouched natural landscape.
  • B. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • C. Hydrus
    Hydrus is a small, faint constellation in the southern sky, often referred to as the "lesser water snake."
  • D. Varuni
    Varuni is a Hindu goddess associated with wine and divine intoxication, revered as the consort of the Vedic sea god Varuna.
  • E. Ahirvati
    Ahirvati is an alternative name for Ahirwati, an Indo-Aryan language spoken primarily by the Ahir community in parts of northern India.
  • 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: Akasha
Triple: [Queen of the Damned, character, Akasha]
Generated description
Akasha is the powerful and ancient vampire queen who serves as the primary antagonist in Anne Rice's novel and its film adaptation "Queen of the Damned."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akasha
Target entity description: Akasha is the powerful and ancient vampire queen who serves as the primary antagonist in Anne Rice's novel and its film adaptation "Queen of the Damned."
  • A. Oxeia
    Oxeia is a small Greek island in the Ionian Sea, part of the Echinades archipelago known for its rugged coastline and relatively untouched natural landscape.
  • B. Urana
    Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
  • C. Hydrus
    Hydrus is a small, faint constellation in the southern sky, often referred to as the "lesser water snake."
  • D. Varuni
    Varuni is a Hindu goddess associated with wine and divine intoxication, revered as the consort of the Vedic sea god Varuna.
  • E. Ahirvati
    Ahirvati is an alternative name for Ahirwati, an Indo-Aryan language spoken primarily by the Ahir community in parts of northern India.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e9e3fc8190802195ac9fcb8e28 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9c669608190af97c461beaf9f31 completed April 18, 2026, 3:56 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1fff754819092d634f46fb42387 completed April 18, 2026, 4:32 p.m.
Created at: April 8, 2026, 9:25 p.m.