Triple

T9653321
Position Surface form Disambiguated ID Type / Status
Subject Elena of Avalor E233387 entity
Predicate hasMainCharacter P1183 FINISHED
Object Princess Elena E814543 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: Princess Elena | Statement: [Elena of Avalor, hasMainCharacter, Princess Elena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Elena
Context triple: [Elena of Avalor, hasMainCharacter, Princess Elena]
  • A. Princess Elena chosen
    Princess Elena is a brave and kind-hearted young royal from Disney's animated universe, known for her leadership and adventures in the series "Elena of Avalor."
  • B. Princess Sofia
    Princess Sofia is the young, kind-hearted royal protagonist of the animated Disney Junior series "Sofia the First," known for learning life lessons as she adapts to her new role as a princess.
  • C. Princess Helene
    Princess Helene is the kidnapped royal heroine of the 1962 fantasy film "The Magic Sword," whose rescue drives the movie’s quest-driven plot.
  • D. Princess Hyacinth
    Princess Hyacinth is a celebrated Art Nouveau poster by Alphonse Mucha, featuring an idealized female figure adorned with floral motifs and ornate decorative elements.
  • E. Infanta
    Infanta is a coastal municipality in the province of Quezon, Philippines, known as a local commercial hub and gateway to the Pacific seaboard.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f6d397481908f7db1f272a6a710 completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 8:13 p.m.