Triple

T9483195
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Hamilton E228695 entity
Predicate appearedIn P795 FINISHED
Object Strangerland
Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
 E802559 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: Strangerland | Statement: [Nicholas Hamilton, appearedIn, Strangerland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Strangerland
Context triple: [Nicholas Hamilton, appearedIn, Strangerland]
  • A. Strangeland
    Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
  • B. Strangeland
    Strangeland is a confessional memoir by British artist Tracey Emin, exploring her turbulent childhood, relationships, and the experiences that shaped her provocative artistic persona.
  • C. Stranger
    Stranger is a song by the American rock band Glitter.
  • D. Stranger
    "Stranger" is a 2017 studio album by Swedish rapper and singer Yung Lean, showcasing his melancholic, atmospheric take on cloud rap and alternative hip hop.
  • E. The Music of Strangers
    The Music of Strangers is a 2015 documentary film that follows Yo-Yo Ma and the Silk Road Ensemble, exploring how music fosters cultural exchange and human connection across the globe.
  • 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: Strangerland
Triple: [Nicholas Hamilton, appearedIn, Strangerland]
Generated description
Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Strangerland
Target entity description: Strangerland is a 2015 Australian mystery drama film set in a remote desert town, following parents whose children disappear amid a dust storm.
  • A. Strangeland
    Strangeland is a confessional memoir by British artist Tracey Emin, exploring her turbulent childhood, relationships, and the experiences that shaped her provocative artistic persona.
  • B. Strangeland
    Strangeland is a song by the American rock band Green Day from their early compilation album "Kerplunk."
  • C. Stranger
    Stranger is a song by the American rock band Glitter.
  • D. Stranger
    "Stranger" is a 2017 studio album by Swedish rapper and singer Yung Lean, showcasing his melancholic, atmospheric take on cloud rap and alternative hip hop.
  • E. The Music of Strangers
    The Music of Strangers is a 2015 documentary film that follows Yo-Yo Ma and the Silk Road Ensemble, exploring how music fosters cultural exchange and human connection across the globe.
  • F. None of above. chosen

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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12db5c20881909a7011a3d25dd2b8 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e4f1b9081908e73aa674d1ef0e4 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:55 p.m.