Triple

T4817768
Position Surface form Disambiguated ID Type / Status
Subject Mercury Prize E107630 entity
Predicate sponsor P67 FINISHED
Object Technics E7932 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: Technics | Statement: [Mercury Prize, sponsor, Technics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technics
Context triple: [Mercury Prize, sponsor, Technics]
  • A. 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.
  • B. Bose
    Bose is a common Indian surname most prominently associated with physicist Satyendra Nath Bose, whose work led to the concept of bosons and Bose–Einstein statistics.
  • C. TDK
    TDK is the official Turkish Language Association responsible for regulating, researching, and standardizing the Turkish language.
  • D. Ampex chosen
    Ampex is an American electronics company renowned for pioneering professional audio and video tape recording technology.
  • E. Nagata Acoustics
    Nagata Acoustics is a renowned Japanese acoustic consulting firm known worldwide for designing the sound environments of major concert halls and performing arts centers.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c95b0ec8190a562541b0d7417cb completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4db8cb208190bda1d6df46391dfa completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.