Triple

T12991094
Position Surface form Disambiguated ID Type / Status
Subject Empress E321906 entity
Predicate featuresArtist P1952 FINISHED
Object Patoranking E321911 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: Patoranking | Statement: [Empress, featuresArtist, Patoranking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patoranking
Context triple: [Empress, featuresArtist, Patoranking]
  • A. Patoranking chosen
    Patoranking is a Nigerian reggae-dancehall singer and songwriter known for hits like "Girlie O" and "My Woman, My Everything."
  • B. Pato Music World
    Pato Music World is a music production and management company created by Nigerian-born producer and songwriter Patrice Wilson, known for developing viral pop acts.
  • C. Patpatar
    Patpatar is an Austronesian language spoken in parts of New Ireland in Papua New Guinea, belonging to the Meso-Melanesian subgroup.
  • D. Patnitop
    Patnitop is a scenic hill station in the Jammu region of India, known for its panoramic views of the Himalayas, pleasant climate, and opportunities for trekking and winter sports.
  • E. Poga
    Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0fca5e4819086b010fdd1813419 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:43 p.m.