Triple

T14028941
Position Surface form Disambiguated ID Type / Status
Subject Tinker Bell and the Legend of the NeverBeast E337534 entity
Predicate featuresCharacter P626 FINISHED
Object Iridessa E1059975 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: Iridessa | Statement: [Tinker Bell and the Legend of the NeverBeast, featuresCharacter, Iridessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iridessa
Context triple: [Tinker Bell and the Legend of the NeverBeast, featuresCharacter, Iridessa]
  • A. Iridessa chosen
    Iridessa is a light-talent fairy from Disney's Tinker Bell franchise, known for her bright, cautious personality and ability to control and manipulate light.
  • B. Arella
    Arella is a character in DC Comics, best known as the human mother of the Teen Titans member Raven and a former acolyte of the interdimensional demon Trigon.
  • C. Ylenia
    Ylenia is an Italian woman best known as the missing daughter of singer and TV personality Al Bano Carrisi and actress Romina Power.
  • D. Idyia
    Idyia is an Oceanid nymph in Greek mythology, best known as the wife of King Aeëtes of Colchis and mother of the sorceress Medea.
  • E. Gessa
    Gessa is a small village in the Val d'Aran region of Catalonia, Spain, known for its traditional Pyrenean architecture and mountain setting.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc335a474819084c310b10e0ded9a completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.