Triple

T14378949
Position Surface form Disambiguated ID Type / Status
Subject Alice Englert E356548 entity
Predicate hasRole P161 FINISHED
Object Lucy
Lucy is a character portrayed by actress and filmmaker Alice Englert.
E1096029 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: [Alice Englert, hasRole, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy
Context triple: [Alice Englert, hasRole, Lucy]
  • A. Lucy
    Lucy is a character portrayed by English actress Ellise Chappell, known for her work in film and television.
  • B. Lucy
    Lucy is the given name of Lady Lucy Anne FitzGerald, an Irish noblewoman of the late 18th and early 19th centuries known for her political radicalism and connections to the United Irishmen.
  • C. 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.
  • D. 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.
  • E. Lucy
    Lucy is a fictional lion character, likely depicted with anthropomorphic traits in a narrative or animated context.
  • 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: [Alice Englert, hasRole, Lucy]
Generated description
Lucy is a character portrayed by actress and filmmaker Alice Englert.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucy
Target entity description: Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • A. Lucy
    Lucy is a character portrayed by English actress Ellise Chappell, known for her work in film and television.
  • B. Lucy
    Lucy, better known by her nickname Wyldstyle, is a rebellious and resourceful Master Builder from The Lego Movie franchise.
  • C. 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.
  • D. Lucy
    "Lucy" is a 2014 science fiction action film directed by Luc Besson, in which Scarlett Johansson plays a woman who gains extraordinary mental and physical abilities after a drug enters her system.
  • E. 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.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.