Triple

T40611
Position Surface form Disambiguated ID Type / Status
Subject Time Inc. E802 entity
Predicate notableWork P4 FINISHED
Object Life
Life was a pioneering American photojournalism magazine published by Time Inc., renowned for its powerful photography and coverage of major 20th-century events and culture.
 E3450 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: Life | Statement: [Time Inc., notableWork, Life]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Life
Context triple: [Time Inc., notableWork, Life]
  • A. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. This Is My Story
    This Is My Story is an autobiographical book by Eleanor Roosevelt recounting her early life, personal challenges, and path to public service and activism.
  • D. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • E. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • 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: Life
Triple: [Time Inc., notableWork, Life]
Generated description
Life was a pioneering American photojournalism magazine published by Time Inc., renowned for its powerful photography and coverage of major 20th-century events and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Life
Target entity description: Life was a pioneering American photojournalism magazine published by Time Inc., renowned for its powerful photography and coverage of major 20th-century events and culture.
  • A. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. This Is My Story
    This Is My Story is an autobiographical book by Eleanor Roosevelt recounting her early life, personal challenges, and path to public service and activism.
  • D. We
    "We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
  • E. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24adf3640819095576e072fb5d9a8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e6222408190bc317b90aea16849 completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250f6c0308190affd58f1bfa0c261 completed Feb. 28, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69a251b471688190b067c5db8f03ac47 completed Feb. 28, 2026, 2:23 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.