Triple

T14485052
Position Surface form Disambiguated ID Type / Status
Subject Scott Wilson E359204 entity
Predicate appearedIn P795 FINISHED
Object Monster E50475 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: Monster | Statement: [Scott Wilson, appearedIn, Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster
Context triple: [Scott Wilson, appearedIn, Monster]
  • A. Monster chosen
    Monster is a 2003 biographical crime drama film in which Charlize Theron delivers an Oscar-winning performance as serial killer Aileen Wuornos.
  • B. Monster
    "Monster" is a standout track from Kanye West’s critically acclaimed album *My Beautiful Dark Twisted Fantasy*, known for its high-profile guest verses and dark, aggressive themes.
  • C. Monster
    Monster is a popular energy drink brand known for its high-caffeine beverages and aggressive, extreme-sports-oriented marketing.
  • D. Monster
    Monster is the first solo studio album by American rapper Killer Mike, showcasing his aggressive Southern hip hop style and politically charged lyricism.
  • E. Monster
    Monster is a 1994 studio album by American rock band R.E.M. that marked a shift toward a louder, more distorted guitar sound and explored themes of celebrity and identity.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.