Triple

T5454915
Position Surface form Disambiguated ID Type / Status
Subject Lodac E122455 entity
Predicate kidnaps P23387 FINISHED
Object Princess Helene E123793 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 Helene | Statement: [Lodac, kidnaps, Princess Helene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Helene
Context triple: [Lodac, kidnaps, Princess Helene]
  • A. Princess Helene chosen
    Princess Helene is the kidnapped royal heroine of the 1962 fantasy film "The Magic Sword," whose rescue drives the movie’s quest-driven plot.
  • B. 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.
  • C. Polyxena of Hesse-Rotenburg
    Polyxena of Hesse-Rotenburg was a German princess who became Queen consort of Sardinia through her marriage to King Charles Emmanuel III.
  • D. Princess Helen of Greece and Denmark
    Princess Helen of Greece and Denmark was a Greek and Danish royal princess who became Queen Mother of Romania as the wife of King Carol II and mother of King Michael I.
  • E. Princess Dragomiroff
    Princess Dragomiroff is an elderly, imperious Russian aristocrat who appears as a key suspect in Agatha Christie’s detective novel "Murder on the Orient Express."
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ed9a388190967e7ffaf9dbadc6 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4885dc708190aff55f4f5d0ff92f completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:08 p.m.