Triple

T3166884
Position Surface form Disambiguated ID Type / Status
Subject Madonna E66231 entity
Predicate notableWork P4 FINISHED
Object Evita (film) E109717 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: Evita (film) | Statement: [Madonna, notableWork, Evita (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evita (film)
Context triple: [Madonna, notableWork, Evita (film)]
  • A. Evita chosen
    Evita is a popular musical by Andrew Lloyd Webber and Tim Rice that dramatizes the life of Argentine First Lady Eva Perón.
  • B. Cabaret
    Cabaret is a coastal commune in Haiti’s Ouest Department, known for its proximity to Port-au-Prince and its role in the region’s local agriculture and trade.
  • C. The Last King of Scotland
    The Last King of Scotland is a 2006 historical drama film about Ugandan dictator Idi Amin, for which Forest Whitaker won widespread acclaim and an Academy Award for Best Actor.
  • D. Queen of the Movies
    Queen of the Movies is the famous nickname of silent film star Mary Pickford, reflecting her status as one of early Hollywood’s most beloved and influential actresses.
  • E. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.