Triple

T6077557
Position Surface form Disambiguated ID Type / Status
Subject Steve Lillywhite E135439 entity
Predicate familyName P18 FINISHED
Object Lillywhite
Lillywhite is an English surname most notably associated with figures in music production and sports, including acclaimed record producer Steve Lillywhite.
 E567569 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: Lillywhite | Statement: [Steve Lillywhite, familyName, Lillywhite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lillywhite
Context triple: [Steve Lillywhite, familyName, Lillywhite]
  • A. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • B. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • C. Lillie
    Lillie is the given name of Lillie Hitchcock Coit, a famed 19th-century San Francisco socialite and patron associated with the city’s firefighting history.
  • D. Lilly
    Lilly is the surname of Bob Lilly, a Pro Football Hall of Fame defensive tackle best known for his career with the Dallas Cowboys.
  • E. Lily
    Lily is a feminine given name of English origin commonly associated with the lily flower and symbolizing purity and beauty.
  • 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: Lillywhite
Triple: [Steve Lillywhite, familyName, Lillywhite]
Generated description
Lillywhite is an English surname most notably associated with figures in music production and sports, including acclaimed record producer Steve Lillywhite.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lillywhite
Target entity description: Lillywhite is an English surname most notably associated with figures in music production and sports, including acclaimed record producer Steve Lillywhite.
  • A. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • B. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • C. Lillie
    Lillie is the given name of Lillie Hitchcock Coit, a famed 19th-century San Francisco socialite and patron associated with the city’s firefighting history.
  • D. Lilly
    Lilly is the surname of Bob Lilly, a Pro Football Hall of Fame defensive tackle best known for his career with the Dallas Cowboys.
  • E. Lily
    Lily is a pivotal character in the psychological thriller film "Black Swan," serving as a seductive and enigmatic rival whose presence intensifies the protagonist's descent into paranoia and self-destruction.
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0576ef2c88190b0ec62e9f041d176 completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d48f0508190991453dc17c53b89 completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11ed5a5748190b7320890397c8ce9 completed March 23, 2026, 11:07 a.m.
NED2 Entity disambiguation (via description) batch_69c11f34218c819094ce32eafff37489 completed March 23, 2026, 11:08 a.m.
Created at: March 22, 2026, 4:11 p.m.