Triple

T4897549
Position Surface form Disambiguated ID Type / Status
Subject Evita E109717 entity
Predicate adaptedAs P1926 FINISHED
Object 1996 film "Evita" 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: 1996 film "Evita" | Statement: [Evita, adaptedAs, 1996 film "Evita"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1996 film "Evita"
Context triple: [Evita, adaptedAs, 1996 film "Evita"]
  • 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. Man of La Mancha
    Man of La Mancha is a celebrated musical inspired by Miguel de Cervantes' Don Quixote, known for its imaginative storytelling and the iconic song "The Impossible Dream."
  • C. 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.
  • D. Tina: The Tina Turner Musical
    Tina: The Tina Turner Musical is a jukebox bio-musical that dramatizes the life and career of rock icon Tina Turner using her hit songs.
  • E. Follies
    Follies is a celebrated Stephen Sondheim musical that nostalgically explores aging, memory, and lost dreams through a reunion of former showgirls in a crumbling Broadway theater.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e49992481908cc7cc1eeafd6494 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc997548190bb340193475065ee completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.