Triple

T4111681
Position Surface form Disambiguated ID Type / Status
Subject Lucy Everest Boole E90188 entity
Predicate hasGivenName P17 FINISHED
Object Lucy
Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
 E413348 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: [Lucy Everest Boole, hasGivenName, Lucy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lucy
Context triple: [Lucy Everest Boole, hasGivenName, Lucy]
  • A. 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.
  • 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, better known by her nickname Wyldstyle, is a rebellious and resourceful Master Builder from The Lego Movie franchise.
  • 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: [Lucy Everest Boole, hasGivenName, Lucy]
Generated description
Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lucy
Target entity description: Lucy is a feminine given name of Latin origin meaning "light," commonly used in many English-speaking and European countries.
  • A. 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.
  • 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, better known by her nickname Wyldstyle, is a rebellious and resourceful Master Builder from The Lego Movie franchise.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01dd7140819093d3332eb94a357c completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8adc748190be7b34ff37ae3618 completed March 14, 2026, 2:07 p.m.
NEDg Description generation batch_69b56ca404d88190aad31ec27229cd40 completed March 14, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_69b56d908f3481908ff2c703983e84e3 completed March 14, 2026, 2:15 p.m.
Created at: March 9, 2026, 3:41 p.m.