Triple

T16780050
Position Surface form Disambiguated ID Type / Status
Subject Youth E407832 entity
Predicate featuresCharacter P626 FINISHED
Object Mahser
Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
 E1233808 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: Mahser | Statement: [Youth, featuresCharacter, Mahser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahser
Context triple: [Youth, featuresCharacter, Mahser]
  • A. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • B. Misilmeri
    Misilmeri is a town and comune in Sicily, Italy, situated inland from the city of Palermo and known for its historic castle and surrounding agricultural landscape.
  • C. Mutasa
    Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • 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: Mahser
Triple: [Youth, featuresCharacter, Mahser]
Generated description
Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahser
Target entity description: Mahser is a character associated with youth, often depicted as embodying the traits, energy, and challenges of young people.
  • A. Marsum
    Marsum is a small village in the northern Netherlands, located in the province of Groningen within the municipality of Eemsdelta.
  • B. Misilmeri
    Misilmeri is a town and comune in Sicily, Italy, situated inland from the city of Palermo and known for its historic castle and surrounding agricultural landscape.
  • C. Mutasa
    Mutasa is a town located in Zimbabwe’s eastern Manicaland Province, known for its rural communities and proximity to the Eastern Highlands.
  • D. Musasir
    Musasir was an ancient Urartian city and religious center in the Armenian Highlands, renowned for its prominent temple dedicated to the god Haldi.
  • E. Yasa'ur
    Yasa'ur was a Mongol prince and military leader who played a significant role in the politics and conflicts of the Chagatai Khanate during the early 14th century.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b214cebc81909de80e74b4bac5f8 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab00cf708190a2562fa14d72a4df completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00ad66a9a88190983eee72f9d23e37 completed May 10, 2026, 4:08 p.m.
NED2 Entity disambiguation (via description) batch_6a00addf7674819084f5755c2dacc741 completed May 10, 2026, 4:10 p.m.
Created at: April 10, 2026, 5:22 a.m.