Triple

T1811965
Position Surface form Disambiguated ID Type / Status
Subject Tommy Hilfiger E40350 entity
Predicate hasChild P369 FINISHED
Object Elizabeth Hilfiger E204513 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: Elizabeth Hilfiger | Statement: [Tommy Hilfiger, hasChild, Elizabeth Hilfiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Hilfiger
Context triple: [Tommy Hilfiger, hasChild, Elizabeth Hilfiger]
  • A. Susie Hilfiger chosen
    Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
  • B. Sonia Rykiel
    Sonia Rykiel was a renowned French fashion designer celebrated for her chic knitwear, left-bank Parisian style, and influential eponymous label.
  • C. Alberta Ferretti
    Alberta Ferretti is an Italian fashion designer renowned for her romantic, ethereal gowns and her eponymous luxury womenswear label.
  • D. Carolina Herrera
    Carolina Herrera is a Venezuelan-American fashion designer renowned for her elegant, sophisticated clothing and fragrance lines favored by celebrities and socialites.
  • E. Diane von Fürstenberg
    Diane von Fürstenberg is a Belgian-born fashion designer best known for creating the iconic wrap dress and founding her eponymous global luxury brand.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c64bc08190b993216890752b46 completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf3fd6bc81908b762644fb588f0a completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:32 p.m.