Triple

T8536691
Position Surface form Disambiguated ID Type / Status
Subject PVH Corp. E202093 entity
Predicate hasBrand P1500 FINISHED
Object Tommy Jeans E40350 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: Tommy Jeans | Statement: [PVH Corp., hasBrand, Tommy Jeans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Jeans
Context triple: [PVH Corp., hasBrand, Tommy Jeans]
  • A. Sasson Jeans
    Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
  • B. Pepe Jeans
    Pepe Jeans is a British denim and casualwear fashion brand known for its trendy jeans and youthful, urban style.
  • C. Tommy Hilfiger chosen
    Tommy Hilfiger is an American fashion brand and designer known for his classic, preppy clothing and accessories that blend traditional Americana with modern style.
  • D. Isabel Jeans
    Isabel Jeans was a British stage and film actress known for her sophisticated roles in early 20th-century cinema, including appearances in several Alfred Hitchcock films.
  • E. Abercrombie
    Abercrombie is a Scottish-origin surname borne by various notable individuals, including politicians, artists, and public figures.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8c666881908785079f059f88c8 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.