Triple

T16401308
Position Surface form Disambiguated ID Type / Status
Subject The Marshall Mathers LP E398311 entity
Predicate hasPart P35 FINISHED
Object Criminal E198280 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: Criminal | Statement: [The Marshall Mathers LP, hasPart, Criminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Criminal
Context triple: [The Marshall Mathers LP, hasPart, Criminal]
  • A. Criminal
    "Criminal" is a 2016 science fiction action thriller film about a death row inmate implanted with a dead CIA agent’s memories, written by Douglas S. Cook and David Weisberg.
  • B. Criminal chosen
    "Criminal" is a 1997 alternative rock song by Fiona Apple, known for its confessional lyrics and Grammy-winning success.
  • C. Criminal
    "Criminal" is a popular reggaeton and Latin trap single by Puerto Rican singer Ozuna, known for its catchy rhythm and widespread success in the Latin music scene.
  • D. Criminal
    "Criminal" is a 1995 hip hop song by American rapper Shock G (Gregory Jacobs), known for its socially conscious lyrics and distinctive production style.
  • E. Criminal
    Criminal is a critically acclaimed neo-noir comic book series by Ed Brubaker and Sean Phillips, known for its gritty, interconnected crime stories and morally complex characters.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cfb2fc8190bbc2765247c4b4e4 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c5e7b4881908245228730a65876 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.