Triple

T8556372
Position Surface form Disambiguated ID Type / Status
Subject Thomas Jacob Hilfiger E202572 entity
Predicate hasChild P369 FINISHED
Object Sebastian Thomas Hilfiger E210999 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: Sebastian Thomas Hilfiger | Statement: [Thomas Jacob Hilfiger, hasChild, Sebastian Thomas Hilfiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebastian Thomas Hilfiger
Context triple: [Thomas Jacob Hilfiger, hasChild, Sebastian Thomas Hilfiger]
  • A. Sebastian Thomas Hilfiger chosen
    Sebastian Thomas Hilfiger is a son of American fashion designer and Tommy Hilfiger brand founder Tommy Hilfiger.
  • B. Thomas Jacob Hilfiger
    Thomas Jacob Hilfiger is an American fashion designer best known as the founder of the global lifestyle brand Tommy Hilfiger.
  • C. Richard Hilfiger
    Richard Hilfiger is an American actor and musician best known as the son of fashion designer Tommy Hilfiger.
  • D. Susie Hilfiger
    Susie Hilfiger is an American businesswoman and former wife of fashion designer Tommy Hilfiger, known for her involvement in the fashion and lifestyle industry.
  • E. Michele Lacroix
    Michele Lacroix is a Belgian public figure best known as the wife of professional footballer Kevin De Bruyne.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe88bcce081909e12e4037a0e6323 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf280edb288190a7db5486cc426253 completed April 3, 2026, 2:38 a.m.
Created at: March 30, 2026, 6:19 p.m.