Triple

T16882684
Position Surface form Disambiguated ID Type / Status
Subject Girls, Girls, Girls E421458 entity
Predicate directorOfMusicVideo P4911 FINISHED
Object Marc Klasfeld 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: Marc Klasfeld | Statement: [Girls, Girls, Girls, directorOfMusicVideo, Marc Klasfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Klasfeld
Context triple: [Girls, Girls, Girls, directorOfMusicVideo, Marc Klasfeld]
  • A. Marc Klasfeld chosen
    Marc Klasfeld is an American music video director known for his prolific work with major hip-hop and rock artists and for creating visually distinctive, narrative-driven videos.
  • B. Ken Kelsch
    Ken Kelsch was an American cinematographer and occasional producer known for his gritty visual style and frequent collaborations with director Abel Ferrara.
  • C. Michael Schoeffling
    Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
  • D. Kevin Biegel
    Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
  • E. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbdffd8819093f1efd91f6d49dc completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:29 a.m.