Triple

T9970282
Position Surface form Disambiguated ID Type / Status
Subject Take This Waltz E196184 entity
Predicate mainCharacter P1183 FINISHED
Object Lou
Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
 E835734 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: Lou | Statement: [Take This Waltz, mainCharacter, Lou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lou
Context triple: [Take This Waltz, mainCharacter, Lou]
  • A. Lou
    Lou is a recurring Springfield police officer on the animated television series "The Simpsons," known as Chief Wiggum’s level-headed, deadpan partner.
  • B. Lou
    Lou is a common diminutive form of the given name Louise.
  • C. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • D. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • E. Lon
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • 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: Lou
Triple: [Take This Waltz, mainCharacter, Lou]
Generated description
Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lou
Target entity description: Lou is a central character in the Canadian romantic drama film "Take This Waltz," which explores themes of love, fidelity, and emotional restlessness.
  • A. Lou
    Lou is a common diminutive form of the given name Louise.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lou
    Lou is a recurring Springfield police officer on the animated television series "The Simpsons," known as Chief Wiggum’s level-headed, deadpan partner.
  • D. Luc
    Luc is the given name of Luc Longley, the Australian former professional basketball player and three-time NBA champion with the Chicago Bulls.
  • E. Lon
    Lon is the family name of Lon Nol, the Cambodian general and politician who led a coup against Prince Norodom Sihanouk and headed the Khmer Republic in the early 1970s.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269fc0d20819082bfe0331972e2b6 completed April 5, 2026, 1:56 p.m.
NEDg Description generation batch_69d26b3e1b948190a76cf7ad91a1e0a5 completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26c0c9ee88190867f8531e9ffbf27 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:48 p.m.