Triple

T919813
Position Surface form Disambiguated ID Type / Status
Subject Campbell Soup Company E19856 entity
Predicate brand P1500 FINISHED
Object Swanson
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
 E107925 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: Swanson | Statement: [Campbell Soup Company, brand, Swanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swanson
Context triple: [Campbell Soup Company, brand, Swanson]
  • A. Carlson
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • B. Organix
    Organix is the first studio album by hip hop band The Roots, showcasing their early jazz-influenced, live-instrument approach to rap music.
  • C. Rodan
    Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Behring
    Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
  • 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: Swanson
Triple: [Campbell Soup Company, brand, Swanson]
Generated description
Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Swanson
Target entity description: Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
  • A. Carlson
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • B. Organix
    Organix is the first studio album by hip hop band The Roots, showcasing their early jazz-influenced, live-instrument approach to rap music.
  • C. Rodan
    Rodan is a giant pterosaur-like kaiju from the Godzilla franchise, known for its supersonic flight and destructive shockwaves.
  • D. Ornex
    Ornex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Behring
    Behring is a German surname most notably associated with Emil Adolf von Behring, the pioneering physiologist and first Nobel laureate in Physiology or Medicine for his work on serum therapy.
  • 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.