Triple

T10648180
Position Surface form Disambiguated ID Type / Status
Subject Princess Jasmine E250890 entity
Predicate pet P8711 FINISHED
Object Rajah
Rajah is the loyal and protective tiger companion of Princess Jasmine in Disney's Aladdin franchise.
E877150 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: Rajah | Statement: [Princess Jasmine, pet, Rajah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajah
Context triple: [Princess Jasmine, pet, Rajah]
  • A. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • B. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • C. Tuanku
    Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
  • D. The Rajah
    The Rajah is the nickname of Roger Brown, a prominent American art historian and curator known for his influential work in the field of art history.
  • E. The Rajah
    The Rajah was the nickname of Rogers Hornsby, a legendary Major League Baseball second baseman renowned for his extraordinary hitting ability and one of the highest career batting averages in history.
  • 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: Rajah
Triple: [Princess Jasmine, pet, Rajah]
Generated description
Rajah is the loyal and protective tiger companion of Princess Jasmine in Disney's Aladdin franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rajah
Target entity description: Rajah is the loyal and protective tiger companion of Princess Jasmine in Disney's Aladdin franchise.
  • A. Raja
    Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
  • B. Tuan Besar
    Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
  • C. Tuanku
    Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
  • D. The Rajah
    The Rajah is the nickname of Roger Brown, a prominent American art historian and curator known for his influential work in the field of art history.
  • E. The Rajah
    The Rajah was the nickname of Rogers Hornsby, a legendary Major League Baseball second baseman renowned for his extraordinary hitting ability and one of the highest career batting averages in history.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.