Triple

T21680682
Position Surface form Disambiguated ID Type / Status
Subject QDIII E535099 entity
Predicate notableWork P4 FINISHED
Object Beef (documentary film series) 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: Beef (documentary film series) | Statement: [QDIII, notableWork, Beef (documentary film series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beef (documentary film series)
Context triple: [QDIII, notableWork, Beef (documentary film series)]
  • A. Beef (documentary film series) chosen
    Beef is a documentary film series that explores the history and impact of high-profile feuds in hip-hop culture.
  • B. The Beef Carcass
    The Beef Carcass is a vivid, expressionistic painting by Chaim Soutine, renowned for its dramatic depiction of a hanging animal carcass that explores themes of mortality and raw physicality.
  • C. Beef III
    Beef III is a documentary film that chronicles and analyzes high-profile feuds and conflicts within the hip-hop community.
  • D. Beyond Beef
    Beyond Beef is a plant-based ground meat alternative created by Beyond Meat to mimic the taste and texture of traditional beef.
  • E. Got Beef
    "Got Beef" is a hip hop track by Tha Eastsidaz that showcases the group's West Coast gangsta rap style and street-focused lyricism.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a12adf08190b9b450eb26a1f33c completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.