Triple

T15923672
Position Surface form Disambiguated ID Type / Status
Subject Happy Diamonds E386152 entity
Predicate hasCollection P426 FINISHED
Object Happy Diamonds jewelry E386152 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: Happy Diamonds jewelry | Statement: [Happy Diamonds, hasCollection, Happy Diamonds jewelry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Diamonds jewelry
Context triple: [Happy Diamonds, hasCollection, Happy Diamonds jewelry]
  • A. Happy Diamonds chosen
    Happy Diamonds is a signature Chopard jewelry and watch collection known for its freely moving diamonds set between transparent sapphire crystals.
  • B. Lex Diamonds
    Lex Diamonds is an alias of Raekwon, the influential American rapper and member of the Wu-Tang Clan known for his vivid, street-oriented storytelling.
  • C. Diamond Garden
    Diamond Garden is a popular public park and recreational space located in the Chembur neighborhood of Mumbai, India.
  • D. Sparkling White Diamonds
    Sparkling White Diamonds is a celebrity-endorsed fragrance line from House of Taylor that evokes glamour and sophistication through its bright, elegant scent profile.
  • E. White Diamonds
    White Diamonds is a classic, best-selling celebrity fragrance famously associated with Elizabeth Taylor and her luxury brand.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156832a248190bed479bf835a469c completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.