Triple

T12331280
Position Surface form Disambiguated ID Type / Status
Subject Asmodea (Fantastic Vision) E293965 entity
Predicate title P38 FINISHED
Object Asmodea
Asmodea is a character from the manga series "Fantastic Vision," known within that work’s fictional universe.
E976641 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: Asmodea | Statement: [Asmodea (Fantastic Vision), title, Asmodea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asmodea
Context triple: [Asmodea (Fantastic Vision), title, Asmodea]
  • A. Amastre
    Amastre is a character in George Frideric Handel’s opera "Serse," typically portrayed as a noblewoman disguised as a man and entangled in the opera’s central romantic and political intrigues.
  • B. Dagonet
    Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
  • C. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • D. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • E. Alaemon
    Alaemon is a small genus of larks known for their ground-dwelling habits and adaptation to arid and semi-arid environments.
  • 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: Asmodea
Triple: [Asmodea (Fantastic Vision), title, Asmodea]
Generated description
Asmodea is a character from the manga series "Fantastic Vision," known within that work’s fictional universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Asmodea
Target entity description: Asmodea is a character from the manga series "Fantastic Vision," known within that work’s fictional universe.
  • A. Amastre
    Amastre is a character in George Frideric Handel’s opera "Serse," typically portrayed as a noblewoman disguised as a man and entangled in the opera’s central romantic and political intrigues.
  • B. Dagonet
    Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
  • C. Tomarza
    Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
  • D. Armant
    Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
  • E. Alaemon
    Alaemon is a small genus of larks known for their ground-dwelling habits and adaptation to arid and semi-arid environments.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e9114f48190988b84eaec2e810f completed May 2, 2026, 3:56 p.m.
NEDg Description generation batch_69f61fd2429c8190a8a7c46c312e262d completed May 2, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.