Triple

T23140379
Position Surface form Disambiguated ID Type / Status
Subject Flamin' Hot E577443 entity
Predicate basedOn P98 FINISHED
Object A Boy, a Burrito and a Cookie: From Janitor to Executive NE NERFINISHED

How this triple was built (3 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: A Boy, a Burrito and a Cookie: From Janitor to Executive | Statement: [Flamin' Hot, basedOn, A Boy, a Burrito and a Cookie: From Janitor to Executive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Boy, a Burrito and a Cookie: From Janitor to Executive
Context triple: [Flamin' Hot, basedOn, A Boy, a Burrito and a Cookie: From Janitor to Executive]
  • A. The toughest job you'll ever love
    "The toughest job you'll ever love" is the famous recruitment slogan of the Peace Corps, highlighting the challenging yet deeply rewarding nature of its volunteer service.
  • B. The Hard Thing About Hard Things
    The Hard Thing About Hard Things is a business and leadership book by entrepreneur and venture capitalist Ben Horowitz that offers candid, experience-based advice on building and running startups through their toughest challenges.
  • C. The Story of Success
    The Story of Success is the subtitle of Malcolm Gladwell’s book "Outliers," which explores how hidden advantages, cultural legacies, and opportunities shape high achievement.
  • D. The Good Boss
    The Good Boss is a 2021 Spanish dark comedy film starring Javier Bardem as a manipulative factory owner whose efforts to win a business award spiral into chaos.
  • E. The Youngest Profession
    The Youngest Profession is a 1943 American comedy film about a teenage girl who becomes a Hollywood autograph hunter, featuring early appearances by several major movie stars.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A Boy, a Burrito and a Cookie: From Janitor to Executive
Target entity description: "A Boy, a Burrito and a Cookie: From Janitor to Executive" is the memoir of Richard Montañez, recounting his rise from a janitorial job to corporate executive and his role in the creation and marketing of Flamin' Hot snacks.
  • A. The toughest job you'll ever love
    "The toughest job you'll ever love" is the famous recruitment slogan of the Peace Corps, highlighting the challenging yet deeply rewarding nature of its volunteer service.
  • B. The Hard Thing About Hard Things
    The Hard Thing About Hard Things is a business and leadership book by entrepreneur and venture capitalist Ben Horowitz that offers candid, experience-based advice on building and running startups through their toughest challenges.
  • C. The Story of Success
    The Story of Success is the subtitle of Malcolm Gladwell’s book "Outliers," which explores how hidden advantages, cultural legacies, and opportunities shape high achievement.
  • D. The Good Boss
    The Good Boss is a 2021 Spanish dark comedy film starring Javier Bardem as a manipulative factory owner whose efforts to win a business award spiral into chaos.
  • E. The Youngest Profession
    The Youngest Profession is a 1943 American comedy film about a teenage girl who becomes a Hollywood autograph hunter, featuring early appearances by several major movie stars.
  • F. None of above. chosen

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.