Triple

T21436042
Position Surface form Disambiguated ID Type / Status
Subject Svika Pick E528810 entity
Predicate notableWork P4 FINISHED
Object Mary Lou
Mary Lou is a popular Israeli musical film written and composed by Svika Pick, inspired by his songs and centered on themes of identity and self-discovery.
E1484294 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: Mary Lou | Statement: [Svika Pick, notableWork, Mary Lou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Lou
Context triple: [Svika Pick, notableWork, Mary Lou]
  • A. Mary Lou
    Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
  • B. Mary Lou
    Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
  • C. Mary Lou
    Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Mary Lou Adams
    Mary Lou Adams is best known as the former wife of American pop artist James Rosenquist.
  • 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: Mary Lou
Triple: [Svika Pick, notableWork, Mary Lou]
Generated description
Mary Lou is a popular Israeli musical film written and composed by Svika Pick, inspired by his songs and centered on themes of identity and self-discovery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Lou
Target entity description: Mary Lou is a popular Israeli musical film written and composed by Svika Pick, inspired by his songs and centered on themes of identity and self-discovery.
  • A. Mary Lou
    Mary Lou is a technology innovator and entrepreneur best known for her pioneering work in display and imaging technologies, including co-founding One Laptop per Child and founding Openwater.
  • B. Mary Lou
    Mary Lou is the first American woman gymnast to win the Olympic all-around gold medal, achieved at the 1984 Los Angeles Games.
  • C. Mary Lou
    Mary Lou is a feminine given name, typically a compound form of Mary and Lou, used in English-speaking countries.
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Mary Lou Adams
    Mary Lou Adams is best known as the former wife of American pop artist James Rosenquist.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b5373994819088fbd82f31c3b0c8 completed April 22, 2026, 11:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8fb4e108190ab7531f9b8a757da completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c9dd8b048190bbd7c0364613ad0e completed May 17, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca559f88819087c13d885e66d67a completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:02 p.m.