Triple

T5693142
Position Surface form Disambiguated ID Type / Status
Subject Bad Moms E125472 entity
Predicate mainCharacter P1183 FINISHED
Object Kiki
Kiki is one of the central overworked and underappreciated mothers in the comedy film "Bad Moms," known for her shy, anxious personality and eventual rebellious transformation.
 E539274 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: Kiki | Statement: [Bad Moms, mainCharacter, Kiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiki
Context triple: [Bad Moms, mainCharacter, Kiki]
  • A. Katikati
    Katikati is a small rural town in New Zealand known for its mural art, horticulture, and location near the Tauranga Harbour in the Bay of Plenty.
  • B. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • C. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • D. Gigi
    Gigi is a 1958 American musical romantic comedy film, directed by Vincente Minnelli, that won multiple Academy Awards and is celebrated for its lavish production and memorable score.
  • E. Gigi
    Gigi is a resident of the Convent, a communal living space central to Toni Morrison’s novel "Paradise."
  • 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: Kiki
Triple: [Bad Moms, mainCharacter, Kiki]
Generated description
Kiki is one of the central overworked and underappreciated mothers in the comedy film "Bad Moms," known for her shy, anxious personality and eventual rebellious transformation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiki
Target entity description: Kiki is one of the central overworked and underappreciated mothers in the comedy film "Bad Moms," known for her shy, anxious personality and eventual rebellious transformation.
  • A. Katikati
    Katikati is a small rural town in New Zealand known for its mural art, horticulture, and location near the Tauranga Harbour in the Bay of Plenty.
  • B. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • C. Zouzou
    Zouzou is a 1934 French musical film starring Josephine Baker, notable for being one of the first major French films to feature a Black woman in a leading role.
  • D. Gigi
    Gigi is a 1958 American musical romantic comedy film, directed by Vincente Minnelli, that won multiple Academy Awards and is celebrated for its lavish production and memorable score.
  • E. Gigi
    Gigi was the affectionate nickname of Gianna Bryant, the late daughter of NBA legend Kobe Bryant who was known for her own promising basketball talent.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e678c48190824d35d276985311 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb76a748190a3b1a289dbd92dee completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c498c4c8190bfa3ac17fba2b152 completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:44 p.m.