Triple

T4955553
Position Surface form Disambiguated ID Type / Status
Subject Jerry Schatzberg E111271 entity
Predicate workedFor P1910 FINISHED
Object Life (magazine) E19467 NE FINISHED

How this triple was built (2 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 (magazine) | Statement: [Jerry Schatzberg, workedFor, Life (magazine)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life (magazine)
Context triple: [Jerry Schatzberg, workedFor, Life (magazine)]
  • A. Life magazine chosen
    Life magazine was a hugely influential American weekly publication best known for its pioneering photojournalism and vivid visual coverage of 20th-century events and culture.
  • B. Light & Life magazine
    Light & Life magazine is a Christian periodical that serves as the official publication and communication organ of the Free Methodist Church.
  • C. Time-Life
    Time-Life was a major American media company best known for its influential magazines, books, and music collections, including the flagship Time magazine.
  • D. You magazine
    You magazine is a lifestyle and features supplement published with the UK’s Mail on Sunday, covering fashion, beauty, celebrity interviews, and real-life stories.
  • E. People (magazine)
    People is a popular American weekly magazine best known for its celebrity news, human-interest stories, and annual features like "Sexiest Man Alive."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71babb44819085b4cd4864433e79 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81de17748190a26abda7d3703b8e completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.