Triple

T22052079
Position Surface form Disambiguated ID Type / Status
Subject The Lost Prince E544908 entity
Predicate mainCharacter P1183 FINISHED
Object Djibi
Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
 E1516124 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: Djibi | Statement: [The Lost Prince, mainCharacter, Djibi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Djibi
Context triple: [The Lost Prince, mainCharacter, Djibi]
  • A. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • B. Dyula
    Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • C. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • D. Djeba
    Djeba is the ancient Egyptian name for the city later known as Edfu, an important cult center of the falcon god Horus.
  • E. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • 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: Djibi
Triple: [The Lost Prince, mainCharacter, Djibi]
Generated description
Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Djibi
Target entity description: Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
  • A. Makouda
    Makouda is a town and commune located in northern Algeria within the Kabylie region.
  • B. Dyula
    Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
  • C. Zogoiby
    Zogoiby is the surname of Aurora Zogoiby, a character from Salman Rushdie’s novel "The Moor’s Last Sigh."
  • D. Djeba
    Djeba is the ancient Egyptian name for the city later known as Edfu, an important cult center of the falcon god Horus.
  • E. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7b3ccc8190a4d8728b135aa22d completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c2705e48190aebbc7b0b6221757 completed May 18, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7ce3c684819090b25ca1e7596722 completed May 18, 2026, 2:43 a.m.
Created at: April 16, 2026, 8:26 p.m.