Triple

T8556346
Position Surface form Disambiguated ID Type / Status
Subject Thomas Jacob Hilfiger E202572 entity
Predicate familyName P18 FINISHED
Object Hilfiger 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: Hilfiger | Statement: [Thomas Jacob Hilfiger, familyName, Hilfiger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hilfiger
Context triple: [Thomas Jacob Hilfiger, familyName, Hilfiger]
  • A. 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.
  • B. Lemaire
    Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
  • C. Semler
    Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
  • D. Esprit
    Esprit is an international fashion brand known for its casual, contemporary clothing and lifestyle products.
  • E. Denis of Paris
    Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
  • 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.