Triple

T20269641
Position Surface form Disambiguated ID Type / Status
Subject Shadowland E499059 entity
Predicate associatedCharacter P12208 FINISHED
Object Nala
Nala is a courageous lioness from Disney's "The Lion King," known for being Simba's childhood friend and later queen of the Pride Lands.
 E173777 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: [Shadowland, associatedCharacter, Nala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nala
Context triple: [Shadowland, associatedCharacter, 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. 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.
  • C. 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.
  • D. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • E. Beti-Fang
    Beti-Fang is a cluster of closely related Bantu languages spoken primarily in Cameroon, Equatorial Guinea, and Gabon by the Beti and Fang peoples.
  • 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: [Shadowland, associatedCharacter, Nala]
Generated description
Nala is a courageous lioness from Disney's "The Lion King," known for being Simba's childhood friend and later queen of the Pride Lands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nala
Target entity description: Nala is a courageous lioness from Disney's "The Lion King," known for being Simba's childhood friend and later queen of the Pride Lands.
  • A. Nala chosen
    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. 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.
  • C. 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.
  • D. Faline
    Faline is a young doe in Disney's animated film "Bambi," known as Bambi's childhood friend and later his mate.
  • E. Beti-Fang
    Beti-Fang is a cluster of closely related Bantu languages spoken primarily in Cameroon, Equatorial Guinea, and Gabon by the Beti and Fang peoples.
  • F. None of above.

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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dc8e708190b840d687f134c9e8 completed April 20, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a1d098881908705463ceb6a331c completed May 16, 2026, 11:50 a.m.
NEDg Description generation batch_6a085aecd7e48190a82b7cc8ac9f53ba completed May 16, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a085baddf1c8190ac7444a8e1d5128f completed May 16, 2026, 11:57 a.m.
Created at: April 11, 2026, 11:42 p.m.