Triple

T15122354
Position Surface form Disambiguated ID Type / Status
Subject Journals E361198 entity
Predicate featuresArtist P1952 FINISHED
Object Tyga E340499 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: Tyga | Statement: [Journals, featuresArtist, Tyga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyga
Context triple: [Journals, featuresArtist, Tyga]
  • A. Tyga chosen
    Tyga is an American rapper and songwriter known for hits like "Rack City" and his association with the Young Money Entertainment label.
  • B. Flo Rida
    Flo Rida is an American rapper and singer known for his catchy, club-oriented hip hop and pop hits such as "Low" and "Right Round."
  • C. Tay Keith
    Tay Keith is an American record producer and songwriter best known for crafting hard-hitting trap beats for artists like Drake, Travis Scott, and Lil Baby.
  • D. Romeo Miller
    Romeo Miller is an American rapper, actor, and television personality who first gained fame as a child performer under the name Lil' Romeo.
  • E. Waka Flocka Flame
    Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f4abd08190b47c9daff2921919 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.