Triple

T17025502
Position Surface form Disambiguated ID Type / Status
Subject Hong Kong music industry E413053 entity
Predicate featuresArtist P1952 FINISHED
Object Sammi Cheng E1246394 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: Sammi Cheng | Statement: [Hong Kong music industry, featuresArtist, Sammi Cheng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sammi Cheng
Context triple: [Hong Kong music industry, featuresArtist, Sammi Cheng]
  • A. Sammi Cheng chosen
    Sammi Cheng is a highly influential Hong Kong Cantopop singer and actress, widely regarded as one of the leading divas of the Chinese music industry since the 1990s.
  • B. Sammi
    Sammi is a given name, typically used as a variant spelling of names like Sammie or Sammy.
  • C. Selina Tsang
    Selina Tsang is the wife of former Hong Kong Chief Executive Donald Tsang and a public figure known primarily for her role as his spouse in Hong Kong’s political and social circles.
  • D. Ma Lo
    "Ma Lo" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its smooth blend of R&B and Afro-pop rhythms.
  • E. Selina Lo
    Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d46a5081908bc5681621dd8534 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012334c3b48190b125ab926450c45b completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.