Triple

T2643997
Position Surface form Disambiguated ID Type / Status
Subject Disney Princess franchise E62941 entity
Predicate notableCharacter P1481 FINISHED
Object Raya E285211 NE FINISHED

How this triple was built (2 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: Raya | Statement: [Disney Princess franchise, notableCharacter, Raya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raya
Context triple: [Disney Princess franchise, notableCharacter, Raya]
  • A. Raya chosen
    Raya is the brave, resourceful warrior princess from Disney's animated film "Raya and the Last Dragon," known for her quest to unite a fractured land and restore harmony with the help of a legendary dragon.
  • B. Roro
    Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
  • C. Anuta
    Anuta is a small, remote Polynesian outlier island in the Solomon Islands known for its dense population, strong communal culture, and well-preserved traditional way of life.
  • D. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • E. Sheena
    Sheena is the first name of Scottish singer and actress Sheena Easton, known for hits in the 1980s such as "Morning Train (Nine to Five)" and "For Your Eyes Only."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd90046dc81908bab3440733f1e98 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa050cc408190b2fa81a0f2da06eb completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:53 p.m.