Triple

T5303486
Position Surface form Disambiguated ID Type / Status
Subject Brad Johnson E120038 entity
Predicate portrays P264 FINISHED
Object Ted Baker E509652 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: Ted Baker | Statement: [Brad Johnson, portrays, Ted Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Baker
Context triple: [Brad Johnson, portrays, Ted Baker]
  • A. Ted Baker chosen
    Ted Baker is a British fashion brand known for its contemporary clothing, accessories, and distinctive quirky styling.
  • B. Fred Perry
    Fred Perry was a British tennis champion of the 1930s who won multiple Grand Slam titles and later became known for the popular sportswear brand bearing his name.
  • C. Gieves & Hawkes
    Gieves & Hawkes is a prestigious British bespoke and ready-to-wear tailor and menswear brand, renowned for its military heritage and long-standing presence at No. 1 Savile Row in London.
  • D. Gareth Pugh
    Gareth Pugh is a British fashion designer known for his avant-garde, sculptural creations and experimental use of materials on the runway.
  • E. Harry Selfridge
    Harry Selfridge was an American-born retail magnate who founded the London department store Selfridges and became a pioneering figure in modern shopping and advertising.
  • 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851b685c8190b7ed8c762a807395 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188394ec81909a03afe92750e9c1 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.