Triple

T11423193
Position Surface form Disambiguated ID Type / Status
Subject Amala Ratna Zandile Dlamin E270678 entity
Predicate notableWork P4 FINISHED
Object Mooo! E264165 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: Mooo! | Statement: [Amala Ratna Zandile Dlamin, notableWork, Mooo!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mooo!
Context triple: [Amala Ratna Zandile Dlamin, notableWork, Mooo!]
  • A. Mooo! chosen
    "Mooo!" is a viral novelty song and music video by rapper and singer Doja Cat that gained widespread attention for its humorous cow-themed lyrics and low-budget, meme-driven aesthetic.
  • B. Moo
    Moo is a satirical novel by Jane Smiley that humorously explores the politics, bureaucracy, and culture of a Midwestern American agricultural university.
  • C. Baa-Baas
    Baa-Baas is the popular nickname for the Barbarians, a famous invitational rugby union club known for its attacking style and sportsmanship.
  • D. Mooz-lum
    Mooz-lum is a 2010 independent drama film that explores the experiences of a young Muslim American man struggling with identity and faith in the post-9/11 United States.
  • E. Blue Cow
    Blue Cow is a popular ski area within the Perisher resort in New South Wales, Australia, known for its varied terrain and lift-accessed slopes.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:35 p.m.