Triple

T16411865
Position Surface form Disambiguated ID Type / Status
Subject Thierry Arbogast E398585 entity
Predicate notableWork P4 FINISHED
Object Lucy
Lucy is a 2014 science fiction action film directed by Luc Besson and starring Scarlett Johansson as a woman who gains extraordinary mental and physical abilities.
E178792 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: [Thierry Arbogast, notableWork, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy
Context triple: [Thierry Arbogast, notableWork, Lucy]
  • A. 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.
  • B. Lucy
    Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • C. Lucy
    "Lucy" is a coming-of-age novella by Jamaica Kincaid that follows a young Caribbean woman navigating identity, colonial legacy, and independence while working as an au pair in the United States.
  • D. Lucy
    Lucy is a fictional character named in the context of "Loosies," likely serving as a supporting figure in that film’s narrative.
  • E. 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.
  • 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: [Thierry Arbogast, notableWork, Lucy]
Generated description
Lucy is a 2014 science fiction action film directed by Luc Besson and starring Scarlett Johansson as a woman who gains extraordinary mental and physical abilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucy
Target entity description: Lucy is a 2014 science fiction action film directed by Luc Besson and starring Scarlett Johansson as a woman who gains extraordinary mental and physical abilities.
  • A. Lucy chosen
    "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.
  • B. Lucy
    Lucy is a character portrayed by actress and filmmaker Alice Englert.
  • C. Lucy
    Lucy is a character portrayed by English actress Ellise Chappell, known for her work in film and television.
  • D. Lucy
    Lucy, better known by her nickname Wyldstyle, is a rebellious and resourceful Master Builder from The Lego Movie franchise.
  • E. 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.
  • F. None of above.

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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00469f5d8081908c21fc30dcb5d5b8 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0047322384819082a95f9a6f5a53fc completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:09 a.m.