Triple

T6107514
Position Surface form Disambiguated ID Type / Status
Subject PepsiCo E136151 entity
Predicate hasBrand P1500 FINISHED
Object Ruffles
Ruffles is a popular brand of ridged potato chips known for their thick, crinkled texture and strong flavor varieties.
 E568794 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: Ruffles | Statement: [PepsiCo, hasBrand, Ruffles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruffles
Context triple: [PepsiCo, hasBrand, Ruffles]
  • A. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • B. Candy
    "Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
  • C. Candy
    "Candy" is a song by the band Broken Silence.
  • D. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • E. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • 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: Ruffles
Triple: [PepsiCo, hasBrand, Ruffles]
Generated description
Ruffles is a popular brand of ridged potato chips known for their thick, crinkled texture and strong flavor varieties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruffles
Target entity description: Ruffles is a popular brand of ridged potato chips known for their thick, crinkled texture and strong flavor varieties.
  • A. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • B. Candy
    "Candy" is a song by the band Broken Silence.
  • C. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • D. Candy
    "Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
  • E. Knick Knack
    Knick Knack is a 1989 Pixar animated short film known for its slapstick humor and distinctive 3D computer animation style.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b81fad081909b622cafc6d51249 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255b27a88190b45b664a2ba41166 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c125ede4f88190989a5a40accd2745 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1268ffc7481909a9bd2be039dbf45 completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:13 p.m.