Triple

T8556370
Position Surface form Disambiguated ID Type / Status
Subject Thomas Jacob Hilfiger E202572 entity
Predicate hasChild P369 FINISHED
Object Kathleen Hilfiger E208765 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: Kathleen Hilfiger | Statement: [Thomas Jacob Hilfiger, hasChild, Kathleen Hilfiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathleen Hilfiger
Context triple: [Thomas Jacob Hilfiger, hasChild, Kathleen Hilfiger]
  • A. Kathleen Hilfiger chosen
    Kathleen Hilfiger is one of the children of American fashion designer Tommy Hilfiger.
  • B. Carol Gerber
    Carol Gerber is a central female character in Stephen King’s novel "Hearts in Atlantis," whose coming-of-age journey intertwines with themes of love, loss, and the lasting impact of the 1960s.
  • C. Tina Hirsch
    Tina Hirsch is an American film editor known for her work on numerous feature films and television projects.
  • D. Diane Millstead
    Diane Millstead is an Australian academic and writer best known as the former wife of comedian and satirist Barry Humphries.
  • E. 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.
  • 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_69ce893b24c0819094fead15749fe1ee completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:19 p.m.