Triple

T18644783
Position Surface form Disambiguated ID Type / Status
Subject Snoline E455775 entity
Predicate hasParentBrand P6092 FINISHED
Object Lindsay
Lindsay is a consumer brand best known for its olives and related Mediterranean-style food products.
 E1336620 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: Lindsay | Statement: [Snoline, hasParentBrand, Lindsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lindsay
Context triple: [Snoline, hasParentBrand, Lindsay]
  • A. Lindsay
    Lindsay is a small community situated on the shores of Sturgeon Lake in Ontario, Canada, known for its scenic waterfront and recreational opportunities.
  • B. Lindsay
    Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
  • C. Lindsay
    Lindsay is a small agricultural city in Tulare County, California, known for its citrus production in the San Joaquin Valley.
  • D. Lindsay
    Lindsay is a feminine given name of English origin, used both as a first name and a surname.
  • E. Lindsay
    Lindsay is an Australian federal electoral division in New South Wales that includes the city of Penrith and surrounding suburbs in Western Sydney.
  • 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: Lindsay
Triple: [Snoline, hasParentBrand, Lindsay]
Generated description
Lindsay is a consumer brand best known for its olives and related Mediterranean-style food products.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lindsay
Target entity description: Lindsay is a consumer brand best known for its olives and related Mediterranean-style food products.
  • A. Lindsay
    Lindsay is a small agricultural city in Tulare County, California, known for its citrus production in the San Joaquin Valley.
  • B. Lindsay
    Lindsay is a feminine given name of English origin, used both as a first name and a surname.
  • C. Lindsay
    Lindsay is a small community situated on the shores of Sturgeon Lake in Ontario, Canada, known for its scenic waterfront and recreational opportunities.
  • D. Lindsay
    Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
  • E. Lindsay
    Lindsay is a character in the sitcom "The New Adventures of Old Christine," known as one of Christine Campbell’s rivals in her personal and social life.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500c36188190bfdd7aca73f3c006 completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a051718605881909af06e9ee0c886ef completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a05192a654481908235ea8e16150c9b completed May 14, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a05199a9abc8190baba3e1ba422fd03 completed May 14, 2026, 12:38 a.m.
Created at: April 10, 2026, 11:47 a.m.