Triple

T14190965
Position Surface form Disambiguated ID Type / Status
Subject Hey Ma E351710 entity
Predicate hasChorusVocalist P30369 FINISHED
Object Toya E1086488 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: Toya | Statement: [Hey Ma, hasChorusVocalist, Toya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toya
Context triple: [Hey Ma, hasChorusVocalist, Toya]
  • A. Toya chosen
    Toya is an American R&B singer best known for her early-2000s work, including collaborations like her feature on Cam'ron's hit single "Hey Ma."
  • B. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • C. LaToya Tonodeo
    LaToya Tonodeo is an American actress best known for her role as Diana Tejada in the television series "Power Book II: Ghost."
  • D. Mariko
    Mariko is a central female character in the 1980 television miniseries "Shogun," known for her complex role as a noblewoman navigating political intrigue and cultural conflict in feudal Japan.
  • E. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280861fc81908c342fc229a526f3 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.