Triple

T1934291
Position Surface form Disambiguated ID Type / Status
Subject Walkman E41409 entity
Predicate competitor P1375 FINISHED
Object Aiwa portable players E91046 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: Aiwa portable players | Statement: [Walkman, competitor, Aiwa portable players]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aiwa portable players
Context triple: [Walkman, competitor, Aiwa portable players]
  • A. Denon Wing
    Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
  • B. Mogami
    Mogami was a lead ship of a class of Japanese World War II heavy cruisers known for their high speed, heavy armament, and participation in major Pacific naval battles.
  • C. Kenwood
    Kenwood is a small community in California’s Sonoma Valley known for its wineries, vineyards, and scenic rural charm.
  • D. Kenwood
    Kenwood is a historic neighborhood within Dracut, Massachusetts, known for its preserved architecture and local heritage.
  • E. Telefunken chosen
    Telefunken is a historic German electronics and television brand known for its radios, audio equipment, and consumer electronics.
  • 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_69a88649b24c819080047f26b6db2ded completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb29b51408190afb2f918814e68c7 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f3932081909a72d1022259359e completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.