Triple

T14186374
Position Surface form Disambiguated ID Type / Status
Subject Ter Heijde E351587 entity
Predicate locatedNear P294 FINISHED
Object Monster
Monster is a coastal town in the Dutch province of South Holland, known for its beaches and dunes along the North Sea.
E70501 NE FINISHED

How this triple was built (4 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, locatedNear, Monster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monster
Context triple: [Ter Heijde, locatedNear, 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
    "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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Monster
Triple: [Ter Heijde, locatedNear, Monster]
Generated description
Monster is a coastal town in the Dutch province of South Holland, known for its beaches and dunes along the North Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monster
Target entity description: Monster is a coastal town in the Dutch province of South Holland, known for its beaches and dunes along the North Sea.
  • A. 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.
  • B. Monster
    Monster is a popular energy drink brand known for its high-caffeine beverages and aggressive, extreme-sports-oriented marketing.
  • C. 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.
  • 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 a 2003 biographical crime drama film in which Charlize Theron delivers an Oscar-winning performance as serial killer Aileen Wuornos.
  • F. None of above.

Provenance (5 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_69fd32497780819092e2d2ffe2a9dcaf completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd331562308190a0a2dfcc4a0d26a0 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd338f13dc8190b264534ed9a78cb5 completed May 8, 2026, 12:51 a.m.
Created at: April 10, 2026, 1:03 a.m.