Triple

T4098752
Position Surface form Disambiguated ID Type / Status
Subject Moulin Rouge! The Musical E87886 entity
Predicate featuresCharacter P626 FINISHED
Object Nini
Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
 E415406 NE FINISHED

How this triple was built (4 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: Nini | Statement: [Moulin Rouge! The Musical, featuresCharacter, Nini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nini
Context triple: [Moulin Rouge! The Musical, featuresCharacter, Nini]
  • A. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • B. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • C. Ano Mera
    Ano Mera is a traditional inland village on the Greek island of Mykonos, known for its quieter atmosphere, central square, and historic Panagia Tourliani monastery.
  • D. Jeena
    Jeena is the central protagonist of the Indian television series "Good Vibes."
  • E. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nini
Triple: [Moulin Rouge! The Musical, featuresCharacter, Nini]
Generated description
Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nini
Target entity description: Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • A. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • B. Mishanya
    Mishanya is a Russian diminutive nickname commonly used for the male given name Mikhail.
  • C. Ano Mera
    Ano Mera is a traditional inland village on the Greek island of Mykonos, known for its quieter atmosphere, central square, and historic Panagia Tourliani monastery.
  • D. Jeena
    Jeena is the central protagonist of the Indian television series "Good Vibes."
  • E. Furaha
    Furaha is an individual known primarily as the child of Fifi.
  • F. None of above. chosen

Provenance (5 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd0bdea48190805a79515ee92709 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a1a0408190aa4683a0904790aa completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b576fb7fa08190ada0dff7aa581665 completed March 14, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69b5778dcdc08190aee087f6d54992dc completed March 14, 2026, 2:58 p.m.
Created at: March 9, 2026, 3:40 p.m.