Triple

T14186400
Position Surface form Disambiguated ID Type / Status
Subject Ter Heijde E351587 entity
Predicate hasNearbyUrbanCenter P36605 FINISHED
Object Monster E70501 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: [Ter Heijde, hasNearbyUrbanCenter, Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster
Context triple: [Ter Heijde, hasNearbyUrbanCenter, Monster]
  • A. Monster
    Monster is a 2003 biographical crime drama film in which Charlize Theron delivers an Oscar-winning performance as serial killer Aileen Wuornos.
  • B. Monster chosen
    Monster is a town in the Dutch province of South Holland, known for its coastal location near the North Sea and its greenhouse horticulture.
  • C. 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.
  • D. Monster
    "Monster" is a critically acclaimed Japanese manga series by Naoki Urasawa, known for its dark psychological thriller narrative about a doctor entangled with a serial killer.
  • E. Monster
    Monster is the first solo studio album by American rapper Killer Mike, showcasing his aggressive Southern hip hop style and politically charged lyricism.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4674da8881909dc6c1c8a36cf78e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:03 a.m.