Triple

T17171269
Position Surface form Disambiguated ID Type / Status
Subject Lola (Kinky Boots) E416737 entity
Predicate notableSong P4 FINISHED
Object "Land of Lola" E416740 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: "Land of Lola" | Statement: [Lola (Kinky Boots), notableSong, "Land of Lola"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Land of Lola"
Context triple: [Lola (Kinky Boots), notableSong, "Land of Lola"]
  • A. Land of Lola chosen
    "Land of Lola" is a showstopping musical number from the Broadway musical *Kinky Boots*, performed by the character Lola as a bold, glamorous declaration of identity and confidence.
  • B. Land of La La
    "Land of La La" is a track from Stevie Wonder's 1985 album *In Square Circle*, showcasing his signature blend of soulful vocals and rich synthesizer arrangements.
  • C. Lola in Lola
    Lola in "Lola" is the enigmatic cabaret singer and central figure of Jacques Demy’s 1961 French New Wave film, around whom the intertwined romantic lives of several characters revolve.
  • D. Lola Lola
    Lola Lola is the seductive cabaret singer portrayed by Marlene Dietrich in the classic 1930 German film "The Blue Angel."
  • E. LOLA
    LOLA is the commonly used abbreviation for "Law & Order: LA," a short-lived spin-off of the long-running "Law & Order" television franchise set in Los Angeles.
  • 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_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_6a01483f85648190acaeb197013e1f1b completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.