Triple

T10719075
Position Surface form Disambiguated ID Type / Status
Subject Ali Rose E252768 entity
Predicate rival P437 FINISHED
Object Nikki
Nikki is a character portrayed as Ali Rose’s main rival in the musical film "Burlesque."
 E252773 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: Nikki | Statement: [Ali Rose, rival, Nikki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikki
Context triple: [Ali Rose, rival, Nikki]
  • A. Nikki
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • C. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • D. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • E. Niki
    Niki is a given name that can be used for people of any gender in various cultures.
  • F. None of above.
  • 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: Nikki
Triple: [Ali Rose, rival, Nikki]
Generated description
Nikki is a character portrayed as Ali Rose’s main rival in the musical film "Burlesque."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikki
Target entity description: Nikki is a character portrayed as Ali Rose’s main rival in the musical film "Burlesque."
  • A. Nikki chosen
    Nikki is a seductive and ambitious burlesque performer featured as one of the central characters in the musical film "Burlesque."
  • B. Nikki
    Nikki is the commonly used first name of American politician and former U.S. Ambassador to the United Nations Nikki Haley.
  • C. Nikki
    Nikki is the estranged wife of Pat Solitano in the film "Silver Linings Playbook," whose separation from him drives much of the movie’s emotional conflict.
  • D. Nikki
    Nikki is the central protagonist of the 1993 coming-of-age sports comedy film "Airborne," known for his laid-back California surfer attitude and exceptional inline skating skills.
  • E. Niki
    Niki is a given name that can be used for people of any gender in various cultures.
  • F. None of above.

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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6ff3722ec8190b2d78a5630bf6efc completed April 9, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb71dd6f88190beb99ca75914fb09 completed April 12, 2026, 3:15 p.m.
NEDg Description generation batch_69dbbbe3d9dc819088f85d41ef66ab29 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc58a5ef481908e67fff6686fb506 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.