Triple

T11029014
Position Surface form Disambiguated ID Type / Status
Subject Ruined E260709 entity
Predicate featuresCharacter P626 FINISHED
Object Salima
Salima is a character from the animated series "Beyblade," known as a member of the White Tigers team and an expert in using the Beyblade Galux.
 E899781 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: Salima | Statement: [Ruined, featuresCharacter, Salima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salima
Context triple: [Ruined, featuresCharacter, Salima]
  • A. Sawila
    Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • B. Anila
    Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
  • C. Anisa
    Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • D. Ramara
    Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
  • E. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • 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: Salima
Triple: [Ruined, featuresCharacter, Salima]
Generated description
Salima is a character from the animated series "Beyblade," known as a member of the White Tigers team and an expert in using the Beyblade Galux.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salima
Target entity description: Salima is a character from the animated series "Beyblade," known as a member of the White Tigers team and an expert in using the Beyblade Galux.
  • A. Sawila
    Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • B. Anila
    Anila is a name and epithet of the Hindu wind god Vayu, representing the personification of air and life-breath.
  • C. Anisa
    Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • D. Ramara
    Ramara is a rural township in Simcoe County, Ontario, Canada, known for its waterfront communities and recreational access to Lake Simcoe and Lake Couchiching.
  • E. Ruhaya
    Ruhaya is a Bantu language spoken primarily by the Haya people of northwestern Tanzania.
  • 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_69d797d2feb881909a5684721e8b0d9c completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753451e08190bc42ab99d01926f9 completed April 18, 2026, 12:12 p.m.
NEDg Description generation batch_69e37ab93e0881909d98f96073a55ae8 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c97b34081908b274ff52a12d450 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.