Triple

T2218150
Position Surface form Disambiguated ID Type / Status
Subject Tom Ford E48078 entity
Predicate founded P104 FINISHED
Object Tom Ford (brand) E48078 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: Tom Ford (brand) | Statement: [Tom Ford, founded, Tom Ford (brand)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Ford (brand)
Context triple: [Tom Ford, founded, Tom Ford (brand)]
  • A. Tom Ford chosen
    Tom Ford is an American fashion designer and filmmaker known for revitalizing Gucci and directing acclaimed films such as "A Single Man" and "Nocturnal Animals."
  • B. Valentino
    Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
  • C. Armani
    Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
  • D. Fendi
    Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
  • E. Kenzo
    Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655b369c8190a5d12b87401534d7 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.