Triple

T919811
Position Surface form Disambiguated ID Type / Status
Subject Campbell Soup Company E19856 entity
Predicate brand P1500 FINISHED
Object Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
 E107923 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: Prego | Statement: [Campbell Soup Company, brand, Prego]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prego
Context triple: [Campbell Soup Company, brand, Prego]
  • A. Congosto
    Congosto is a small municipality in the province of León, Spain, historically noted as the birthplace of the explorer Álvaro de Mendaña de Neira.
  • B. Alfredo
    Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
  • C. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • D. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • 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: Prego
Triple: [Campbell Soup Company, brand, Prego]
Generated description
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prego
Target entity description: Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
  • A. Congosto
    Congosto is a small municipality in the province of León, Spain, historically noted as the birthplace of the explorer Álvaro de Mendaña de Neira.
  • B. Alfredo
    Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
  • C. Meatballs
    Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
  • D. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3103bf48190af3f8d8b2d0fe918 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7d02d9d308190a9e950ae034b2ec5 completed March 4, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69a7d0aac93481908ffc2141d668e9d2 completed March 4, 2026, 6:26 a.m.
Created at: March 1, 2026, 7:40 p.m.