Triple

T11754147
Position Surface form Disambiguated ID Type / Status
Subject Richard Lacayo E279481 entity
Predicate notableWork P4 FINISHED
Object Time magazine features 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 features | Statement: [Richard Lacayo, notableWork, Time magazine features]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time magazine features
Context triple: [Richard Lacayo, notableWork, Time magazine features]
  • 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. Life magazine
    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.
  • C. Newsweek magazine
    Newsweek magazine is a long-running American weekly news publication known for its national and international news coverage, analysis, and commentary.
  • D. The New York Times Magazine
    The New York Times Magazine is a weekly long-form journalism and feature magazine known for its in-depth reporting, narrative essays, and distinctive photography and design.
  • E. Chance magazine
    Chance magazine is a popular statistics-focused publication that presents statistical ideas, applications, and case studies to a broad audience, often highlighting real-world data and current events.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50b8a14819092a7397d73f0a8e3 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a21559c819097d0287dd8e2f411 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.