Triple

T15953431
Position Surface form Disambiguated ID Type / Status
Subject Del Monte Foods E386872 entity
Predicate brand P1500 FINISHED
Object S&W
S&W is a long-standing food brand best known for its premium canned fruits, vegetables, and beans.
 E1186149 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: S&W | Statement: [Del Monte Foods, brand, S&W]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S&W
Context triple: [Del Monte Foods, brand, S&W]
  • A. Smith & Wesson
    Smith & Wesson is a major American firearms manufacturer renowned for its revolvers, pistols, and long guns used by civilians, law enforcement, and military forces worldwide.
  • B. Diemaco
    Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
  • C. Remington
    Remington is a masculine given name of English origin that has gained popularity in recent years, often associated with modern, surname-derived first names.
  • D. Remington
    Remington is a historic, rapidly revitalizing neighborhood in central Baltimore known for its rowhouses, arts scene, and mix of longtime residents and new businesses.
  • E. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • 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: S&W
Triple: [Del Monte Foods, brand, S&W]
Generated description
S&W is a long-standing food brand best known for its premium canned fruits, vegetables, and beans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S&W
Target entity description: S&W is a long-standing food brand best known for its premium canned fruits, vegetables, and beans.
  • A. Smith & Wesson
    Smith & Wesson is a major American firearms manufacturer renowned for its revolvers, pistols, and long guns used by civilians, law enforcement, and military forces worldwide.
  • B. Diemaco
    Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
  • C. Remington
    Remington is a masculine given name of English origin that has gained popularity in recent years, often associated with modern, surname-derived first names.
  • D. Remington
    Remington is a historic, rapidly revitalizing neighborhood in central Baltimore known for its rowhouses, arts scene, and mix of longtime residents and new businesses.
  • E. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7ab070819090232efdeecdd5fb completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf61b2ec81909c0f32613bb91a82 completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffbfddd0348190baab794f613c71bf completed May 9, 2026, 11:14 p.m.
Created at: April 10, 2026, 4:53 a.m.