Triple

T15584233
Position Surface form Disambiguated ID Type / Status
Subject Lucky Louie E374576 entity
Predicate hasMainCharacter P1183 FINISHED
Object Lucy
Lucy is a central character in the television series "Lucky Louie," serving as Louie's wife and a key figure in the show's family-centered comedy.
E1165676 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: Lucy | Statement: [Lucky Louie, hasMainCharacter, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy
Context triple: [Lucky Louie, hasMainCharacter, Lucy]
  • A. Lucy
    Lucy is the young, spirited protagonist of E.M. Forster's novel "A Room with a View," known for her struggle between social convention and personal passion.
  • B. Lucy
    Lucy Hawking is a British journalist, novelist, and educator best known for her children’s science books co-written with her father, physicist Stephen Hawking.
  • C. Lucy
    Lucy is the given name of Lucy Flucker Knox, the wife of American Revolutionary War General Henry Knox and a notable figure in early American history.
  • D. Lucy
    Lucy is a fictional lion character, likely depicted with anthropomorphic traits in a narrative or animated context.
  • E. Lucy
    Lucy is a NASA Discovery Program space mission designed to study Jupiter’s Trojan asteroids to better understand the early solar system’s formation and evolution.
  • 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: Lucy
Triple: [Lucky Louie, hasMainCharacter, Lucy]
Generated description
Lucy is a central character in the television series "Lucky Louie," serving as Louie's wife and a key figure in the show's family-centered comedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucy
Target entity description: Lucy is a central character in the television series "Lucky Louie," serving as Louie's wife and a key figure in the show's family-centered comedy.
  • A. Lucy
    Lucy is a character portrayed by English actress Ellise Chappell, known for her work in film and television.
  • B. Lucy
    Lucy is a central character in the film and play "Jack Goes Boating," serving as one of the key figures around whom the story’s romantic and interpersonal dynamics revolve.
  • C. Lucy
    Lucy is a fictional character named in the context of "Loosies," likely serving as a supporting figure in that film’s narrative.
  • D. Lucy
    Lucy is the dog companion in the independent drama film "Wendy and Lucy," symbolizing loyalty and hardship in the protagonist's journey.
  • E. Lucy
    Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e47971481909e986dd999354628 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4f71e48190a15eb0a2138f083f completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4fb2522481909fa66c2e1fac23bf completed May 9, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff5238f0e88190b280942022480c12 completed May 9, 2026, 3:26 p.m.
Created at: April 10, 2026, 4:11 a.m.