Triple

T5776021
Position Surface form Disambiguated ID Type / Status
Subject Bride of Frankenstein E127442 entity
Predicate character P662 FINISHED
Object The Monster E274389 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: [Bride of Frankenstein, character, The Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Monster
Context triple: [Bride of Frankenstein, character, 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 a pop/hip-hop song co-written by Jon Bellion that became widely known through its performance by Eminem featuring Rihanna.
  • C. The Monster chosen
    The Monster is the iconic reanimated creature in the 1931 film "Frankenstein," known for its tragic, misunderstood nature and enduring influence on horror cinema.
  • D. The Monster
    The Monster is a towering, ancient tree-like creature who appears to a young boy in the dark fantasy novel "A Monster Calls," guiding him through stories that confront grief and truth.
  • E. 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.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029de3bb4819087a6f3e920e12990 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e6fd260819090d5e3c877c8bd31 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:50 p.m.