Triple

T22918386
Position Surface form Disambiguated ID Type / Status
Subject Lay's E568791 entity
Predicate hasFlavor P2068 FINISHED
Object Magic Masala
Magic Masala is a popular spicy and tangy potato chip flavor from Lay’s widely known in the Indian snack market.
E1561813 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: Magic Masala | Statement: [Lay's, hasFlavor, Magic Masala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magic Masala
Context triple: [Lay's, hasFlavor, Magic Masala]
  • A. Magic Cauldron
    Magic Cauldron is an influential essay by Eric S. Raymond that analyzes and explains the economic models and sustainability of open-source software development.
  • B. Garam Masala
    Garam Masala is a 2005 Hindi comedy film directed by Priyadarshan, known for its farcical plot and Paresh Rawal’s acclaimed comic performance.
  • C. The Magic
    "The Magic" is a track from Scarlet Rivera's 1977 self-titled album, showcasing her distinctive violin-driven blend of rock and folk influences.
  • D. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • E. The Magic Touch
    The Magic Touch is a 1962 jazz album by pianist and composer Tadd Dameron, showcasing his sophisticated arrangements and influential bebop writing.
  • 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: Magic Masala
Triple: [Lay's, hasFlavor, Magic Masala]
Generated description
Magic Masala is a popular spicy and tangy potato chip flavor from Lay’s widely known in the Indian snack market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Magic Masala
Target entity description: Magic Masala is a popular spicy and tangy potato chip flavor from Lay’s widely known in the Indian snack market.
  • A. Magic Cauldron
    Magic Cauldron is an influential essay by Eric S. Raymond that analyzes and explains the economic models and sustainability of open-source software development.
  • B. Garam Masala
    Garam Masala is a 2005 Hindi comedy film directed by Priyadarshan, known for its farcical plot and Paresh Rawal’s acclaimed comic performance.
  • C. The Magic
    "The Magic" is a track from Scarlet Rivera's 1977 self-titled album, showcasing her distinctive violin-driven blend of rock and folk influences.
  • D. The Magic
    The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
  • E. The Magic Touch
    The Magic Touch is a 1962 jazz album by pianist and composer Tadd Dameron, showcasing his sophisticated arrangements and influential bebop writing.
  • 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_69e2458d90c88190a58cead4e781ca6a completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1807b254c8190bb84596dcacaa35e completed April 29, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc242d8188190b8c4fba17337d787 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc2ea198081909fac3f91b13e444d completed May 19, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc36ee72c81908bb65de9d23a2c13 completed May 19, 2026, 1:57 a.m.
Created at: April 17, 2026, 3:42 p.m.