Triple

T13840810
Position Surface form Disambiguated ID Type / Status
Subject Lido de Paris E332649 entity
Predicate competitiveWith P1375 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: [Lido de Paris, competitiveWith, Moulin Rouge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moulin Rouge
Context triple: [Lido de Paris, competitiveWith, 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    "La Vie en rose" is a classic French song, originally made famous by Édith Piaf, that became one of Louis Armstrong’s signature romantic jazz standards through his celebrated interpretation.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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1bbee14819082e1a381a5950e07 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:13 p.m.