Triple

T17171276
Position Surface form Disambiguated ID Type / Status
Subject Lola (Kinky Boots) E416737 entity
Predicate hasDragName P126365 FINISHED
Object Lola
Lola is the charismatic drag queen and central character in the musical and film "Kinky Boots," known for inspiring a struggling shoe factory to create flamboyant footwear.
E416737 NE FINISHED

How this triple was built (5 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: Lola | Statement: [Lola (Kinky Boots), hasDragName, Lola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lola
Context triple: [Lola (Kinky Boots), hasDragName, Lola]
  • A. Lola
    Lola is a fictional character portrayed by British actor Chiwetel Ejiofor.
  • B. Lola
    Lola is a 1981 West German drama film directed by Rainer Werner Fassbinder, in which Armin Mueller-Stahl plays a prominent role in a story set in postwar Germany.
  • C. Lola
    "Lola" is a 1970 rock song by The Kinks, famous for its catchy melody and narrative about a romantic encounter that plays with themes of gender identity and ambiguity.
  • D. Lola
    Lola is a lethal, acrobatic henchwoman and primary antagonist in the action film "Transporter 2," known for her distinctive red attire and high-impact fight scenes.
  • E. Lola
    Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
  • 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: Lola
Triple: [Lola (Kinky Boots), hasDragName, Lola]
Generated description
Lola is the charismatic drag queen and central character in the musical and film "Kinky Boots," known for inspiring a struggling shoe factory to create flamboyant footwear.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lola
Target entity description: Lola is the charismatic drag queen and central character in the musical and film "Kinky Boots," known for inspiring a struggling shoe factory to create flamboyant footwear.
  • A. Lola chosen
    Lola is the charismatic drag queen and performer who serves as the central catalyst for change in the musical and film "Kinky Boots."
  • B. Lola
    Lola is the seductive, devilish femme fatale character in the musical "Damn Yankees," known for her show-stopping number "Whatever Lola Wants."
  • C. Lola
    Lola is a character featured in the musical "The Origin of Love," likely serving as a significant figure within its narrative about love and identity.
  • D. Lola
    Lola is a character portrayed by actress and filmmaker Alice Englert.
  • E. Lola
    Lola is a lethal, acrobatic henchwoman and primary antagonist in the action film "Transporter 2," known for her distinctive red attire and high-impact fight scenes.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDragName
Context triple: [Lola (Kinky Boots), hasDragName, Lola]
  • A. hasNaming
    Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
  • B. hasNameCharacteristic
    Indicates that an entity possesses a specific quality or attribute related to its name.
  • C. hasMechName
    Indicates that an entity is associated with a specific mechanical or machine-related name or designation.
  • D. hasNameGivenTo
    Indicates that one entity is the name that has been assigned or given to another entity.
  • E. hasCargoHubName
    Indicates that an entity functioning as a cargo hub is associated with a specific name or designation used to identify it.
  • F. None of above. chosen

Provenance (7 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc097950819095631ee5679e03af completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160beb4188190b6e9a91f50b6e276 completed May 11, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a016158b1d081909b62cf73e14b3e78 completed May 11, 2026, 4:55 a.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
PDg Predicate description generation batch_69e3873f62108190966c4e741ebd548d completed April 18, 2026, 1:29 p.m.
Created at: April 10, 2026, 5:37 a.m.