Triple

T16402094
Position Surface form Disambiguated ID Type / Status
Subject Rap God E398324 entity
Predicate followedBy P78 FINISHED
Object The Monster E284286 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: The Monster | Statement: [Rap God, followedBy, The Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Monster
Context triple: [Rap God, followedBy, The Monster]
  • A. The Monster
    The Monster is the stage name and alter ego of American record producer and rapper Swizz Beatz, under which he has released music and production work.
  • B. The Monster
    The Monster is the iconic reanimated creature in the 1931 film "Frankenstein," known for its tragic, misunderstood nature and enduring influence on horror cinema.
  • C. The Monster chosen
    "The Monster" is a pop/hip-hop song co-written by Jon Bellion that became widely known through its performance by Eminem featuring Rihanna.
  • D. The Monster
    The Monster is a short story featured in Stephen Crane's collection "The Monster and Other Stories," exploring themes of ostracism, morality, and social hypocrisy.
  • E. The Monster
    The Monster is a 1994 Italian comedy film directed by and starring Roberto Benigni, known for its farcical misunderstandings and satirical take on social paranoia.
  • 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_69e327d0652081908f42f78b156f3ae7 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6094e481909aa7402fd17fedae completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.