Triple

T11318341
Position Surface form Disambiguated ID Type / Status
Subject Nathaniel Benchley E268023 entity
Predicate employer P7 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: [Nathaniel Benchley, employer, Life (magazine)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life (magazine)
Context triple: [Nathaniel Benchley, employer, 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. LOVE Magazine
    LOVE Magazine is a British bi-annual fashion and lifestyle publication known for its avant-garde editorials and high-profile celebrity and model features.
  • E. Ms. Magazine
    Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.