Triple

T4519963
Position Surface form Disambiguated ID Type / Status
Subject Damayanti E103241 entity
Predicate spouse P13 FINISHED
Object Nala
Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
 E450805 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: Nala | Statement: [Damayanti, spouse, Nala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nala
Context triple: [Damayanti, spouse, Nala]
  • A. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • B. Sheba
    Sheba is a biblical figure traditionally associated with a people or kingdom in the ancient Near East, often linked to the famed Queen of Sheba.
  • C. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • D. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • E. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • 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: Nala
Triple: [Damayanti, spouse, Nala]
Generated description
Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nala
Target entity description: Nala is a legendary king in Hindu mythology, renowned for his righteousness, skill with horses, and central role in the love story of Nala and Damayanti in the Mahabharata.
  • A. Nala
    Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
  • B. Sheba
    Sheba is a biblical figure traditionally associated with a people or kingdom in the ancient Near East, often linked to the famed Queen of Sheba.
  • C. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • D. Ninji
    Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
  • E. Zibelle
    Zibelle is a village in eastern Germany, historically part of Lusatia, known in this context as the place where physicist Walther Nernst died.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5747e90c81908fa112ecace699a9 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd174c88190a186bc2ecc20fcd5 completed March 20, 2026, 8:23 p.m.
NEDg Description generation batch_69bdb220bc6481908955c5c953bbfb97 completed March 20, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69bdb2871e3481908d143c52d9e7141f completed March 20, 2026, 8:48 p.m.
Created at: March 20, 2026, 1:02 p.m.