Triple

T8868474
Position Surface form Disambiguated ID Type / Status
Subject Emily Dreyfuss E211082 entity
Predicate employer P7 FINISHED
Object WIRED E355257 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: WIRED | Statement: [Emily Dreyfuss, employer, WIRED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIRED
Context triple: [Emily Dreyfuss, employer, WIRED]
  • A. Wired magazine chosen
    Wired magazine is an American technology and culture publication known for its in-depth coverage of digital innovation, science, and the impact of emerging technologies on society.
  • B. Wired
    Wired is a 1976 jazz fusion album by guitarist Jeff Beck, acclaimed for its innovative blend of rock, jazz, and funk elements.
  • C. Gizmodo
    Gizmodo is a technology and design-focused news and opinion website known for its coverage of gadgets, science, and digital culture.
  • D. Fast Company
    Fast Company is a leading American business media brand and magazine focused on innovation in technology, leadership, and design.
  • E. WIN Magazine
    WIN Magazine is a peace and antiwar publication associated with the War Resisters League, focusing on nonviolent resistance, social justice, and radical politics.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0e247c88190a97c00ce20f9c1c1 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.