Triple

T5485171
Position Surface form Disambiguated ID Type / Status
Subject Wrigley Company E123561 entity
Predicate notableProduct P1448 FINISHED
Object Winterfresh
Winterfresh is a popular Wrigley chewing gum brand known for its cool, minty flavor and winter-themed branding.
 E522674 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: Winterfresh | Statement: [Wrigley Company, notableProduct, Winterfresh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winterfresh
Context triple: [Wrigley Company, notableProduct, Winterfresh]
  • A. Winters
    Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
  • B. Oberwinter
    Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
  • C. Thaw
    Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
  • D. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • E. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • 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: Winterfresh
Triple: [Wrigley Company, notableProduct, Winterfresh]
Generated description
Winterfresh is a popular Wrigley chewing gum brand known for its cool, minty flavor and winter-themed branding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winterfresh
Target entity description: Winterfresh is a popular Wrigley chewing gum brand known for its cool, minty flavor and winter-themed branding.
  • A. Winters
    Winters is a small agricultural and wine-producing city in Northern California known for its historic downtown and proximity to outdoor recreation areas.
  • B. Oberwinter
    Oberwinter is a village on the Rhine River in the German state of Rhineland-Palatinate, known as a district of the town of Remagen.
  • C. Thaw
    Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
  • D. Frost
    Frost is a common English surname borne by numerous notable individuals, including the American poet Robert Frost.
  • E. Frost
    Frost is the middle name of George F. Kennan, the influential American diplomat and historian known for shaping the U.S. Cold War containment strategy.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9260d90c819087f34ab24662575d completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf48a773f48190b9928a96ae2c17f8 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf49ae98dc81909d410d886163a98d completed March 22, 2026, 1:45 a.m.
NED2 Entity disambiguation (via description) batch_69bf4a373d8881908bb704eafb50b5b9 completed March 22, 2026, 1:47 a.m.
Created at: March 20, 2026, 2:10 p.m.