Triple

T23260412
Position Surface form Disambiguated ID Type / Status
Subject Poke Her Face E581987 entity
Predicate hasFreestyleVersionBy P18107 FINISHED
Object Gudda Gudda NE NERFINISHED

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: [Poke Her Face, hasFreestyleVersionBy, Gudda Gudda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gudda Gudda
Context triple: [Poke Her Face, hasFreestyleVersionBy, 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. Bhagam Bhag
    Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
  • C. Johnny Gaddaar
    Johnny Gaddaar is a 2007 Indian neo-noir thriller film known for its twist-filled plot, stylish direction, and homage to classic crime cinema.
  • D. Mahna Mahna
    Mahna Mahna is a shaggy-haired, scat-singing Muppet best known for performing the nonsensical song "Mah Nà Mah Nà" alongside the Snowths.
  • E. Kabzaa
    Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c9189c8190a13c17c635227f42 completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.