Triple

T8839166
Position Surface form Disambiguated ID Type / Status
Subject Roy Raymond E210342 entity
Predicate soldTo P7792 FINISHED
Object Leslie Wexner E102484 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: Leslie Wexner | Statement: [Roy Raymond, soldTo, Leslie Wexner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leslie Wexner
Context triple: [Roy Raymond, soldTo, Leslie Wexner]
  • A. Leslie H. Wexner chosen
    Leslie H. Wexner is an American billionaire businessman best known as the founder of L Brands, the former parent company of Victoria’s Secret and other major retail brands.
  • B. Spencer Rascoff
    Spencer Rascoff is an American entrepreneur and executive best known as the co-founder and former CEO of real estate marketplace Zillow.
  • C. Thomas Jacob Hilfiger
    Thomas Jacob Hilfiger is an American fashion designer best known as the founder of the global lifestyle brand Tommy Hilfiger.
  • D. Sebastian Thomas Hilfiger
    Sebastian Thomas Hilfiger is a son of American fashion designer and Tommy Hilfiger brand founder Tommy Hilfiger.
  • E. Andrew Liveris
    Andrew Liveris is an Australian business executive best known as the longtime former CEO and chairman of Dow Chemical and a prominent advocate for sustainable, inclusive business practices.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60849f8c8190b7735defecf55a5d completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89933e8c81909672bcec70f7d5ce completed April 3, 2026, 9:34 a.m.
Created at: March 30, 2026, 6:48 p.m.