Triple

T14881961
Position Surface form Disambiguated ID Type / Status
Subject Charles Zidler E350020 entity
Predicate associatedWith P37 FINISHED
Object Moulin Rouge E65975 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: Moulin Rouge | Statement: [Charles Zidler, associatedWith, Moulin Rouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moulin Rouge
Context triple: [Charles Zidler, associatedWith, Moulin Rouge]
  • A. Moulin Rouge chosen
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • B. Moulin Rouge! The Musical
    Moulin Rouge! The Musical is a stage adaptation of Baz Luhrmann’s 2001 film, blending pop songs from various eras into a lavish, high-energy romantic spectacle set in a bohemian Parisian nightclub.
  • C. La Vie en rose
    "La Vie en rose" is a classic French song, originally made famous by Édith Piaf, that became one of Louis Armstrong’s signature romantic jazz standards through his celebrated interpretation.
  • D. La Vie en Rose
    La Vie en Rose is a 2007 French biographical musical film depicting the life and career of iconic singer Édith Piaf.
  • E. 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.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72ac9f6481908f7b4f63a11fe16c completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:56 a.m.