Triple

T41124
Position Surface form Disambiguated ID Type / Status
Subject The Protester E811 entity
Predicate namedBy P63 FINISHED
Object Time magazine E801 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: Time magazine | Statement: [The Protester, namedBy, Time magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time magazine
Context triple: [The Protester, namedBy, Time magazine]
  • A. Time magazine chosen
    Time magazine is a long-running American weekly news magazine known for its influential coverage of global events, politics, and culture.
  • B. Time Inc.
    Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
  • C. Entertainment Weekly
    Entertainment Weekly is an American magazine and digital media brand that covers film, television, music, books, and pop culture news, reviews, and commentary.
  • D. The New York Times
    The New York Times is a leading American newspaper renowned for its influential journalism, extensive global coverage, and role as a newspaper of record.
  • E. Time Person of the Year
    Time Person of the Year is an annual recognition by Time magazine given to an individual, group, or concept that has had the most significant impact on world events during the year.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae0b7c4819092220568e8e52ad5 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266e4c58c81909c75fea51ae16b48 completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.