Triple

T1170573
Position Surface form Disambiguated ID Type / Status
Subject Tiffany & Co. E24901 entity
Predicate notableFor P22 FINISHED
Object Tiffany Blue Box E24902 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: Tiffany Blue Box | Statement: [Tiffany & Co., notableFor, Tiffany Blue Box]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffany Blue Box
Context triple: [Tiffany & Co., notableFor, Tiffany Blue Box]
  • A. Tiffany Case
    Tiffany Case is a fictional diamond smuggler and Bond girl who appears as a major character in Ian Fleming’s James Bond story "Diamonds Are Forever."
  • B. Tiffany
    Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
  • C. Tiffany & Co.
    Tiffany & Co. is a renowned American luxury jewelry and specialty retailer famous for its diamond engagement rings, sterling silver, and iconic blue boxes.
  • D. Tiffany Blue chosen
    Tiffany Blue is the distinctive light robin’s-egg blue color trademarked and famously used by the luxury jewelry brand Tiffany & Co.
  • E. Blue Nile
    The Blue Nile is a major river in northeastern Africa that flows from Ethiopia into Sudan, forming a principal tributary of the Nile and playing a crucial role in the region’s agriculture and hydroelectric power.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce972cc8190bce0b77cfda6da41 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66879aec819098293c440a0e09a6 completed March 7, 2026, 5:55 p.m.
Created at: March 1, 2026, 7:45 p.m.