Triple

T20125063
Position Surface form Disambiguated ID Type / Status
Subject Professor Green E490728 entity
Predicate notableWork P4 FINISHED
Object single "Monster" 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: single "Monster" | Statement: [Professor Green, notableWork, single "Monster"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: single "Monster"
Context triple: [Professor Green, notableWork, single "Monster"]
  • A. "Monster"
    "Monster" is a 2018 American legal drama film that follows a Black honor student on trial for felony murder, exploring themes of race, identity, and the criminal justice system.
  • B. "Monster" chosen
    "Monster" is a dark, introspective hip-hop track by Kanye West featuring Jay-Z, Rick Ross, Nicki Minaj, and Bon Iver, best known for its aggressive verses and Minaj’s widely acclaimed guest performance.
  • C. Monster Monster
    "Monster Monster" is an album by the American Christian rock band The Almost, showcasing their energetic blend of alternative rock and post-hardcore influences.
  • D. "The Monster"
    "The Monster" is an episode of the animated television series Adventure Time that focuses on Lumpy Space Princess and her misadventures.
  • E. "Monster" (publication)
    "Monster" is a publication associated with the work of J. M. R. Luna, likely within the realm of speculative or genre fiction.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667412b888190b43f7dd1ccdbad01 completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:31 p.m.