Triple

T14515490
Position Surface form Disambiguated ID Type / Status
Subject We Are Young Money E340505 entity
Predicate hasArtist P5936 FINISHED
Object Gudda Gudda E340500 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: Gudda Gudda | Statement: [We Are Young Money, hasArtist, Gudda Gudda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudda Gudda
Context triple: [We Are Young Money, hasArtist, Gudda Gudda]
  • A. Gudda Gudda chosen
    Gudda Gudda is an American rapper best known as a longtime member of Lil Wayne’s Young Money collective, contributing to various group projects and mixtapes.
  • B. Padam Padam
    "Padam Padam" is a 2023 dance-pop single by Australian singer Kylie Minogue that became a viral hit and marked a major late-career resurgence for her.
  • C. Thillu Mullu
    Thillu Mullu is a 1981 Tamil comedy film starring Rajinikanth, celebrated for its humorous storyline and as one of his most iconic non-action roles.
  • D. Mama Tata
    Mama Tata is a syncretic indigenous religious movement of the Ngäbe-Buglé people in Panama that blends traditional beliefs with elements of Christianity.
  • E. Bhale Bhale Magadivoy
    Bhale Bhale Magadivoy is a popular Telugu romantic comedy film known for its humorous portrayal of a forgetful protagonist and its commercial success.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94aa39c08190a265f7e23a2c1f0e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:21 a.m.