Triple

T19009921
Position Surface form Disambiguated ID Type / Status
Subject Huang Jianxin E465193 entity
Predicate notableWork P4 FINISHED
Object Dislocation
Dislocation is a 1986 Chinese science fiction film directed by Huang Jianxin that explores themes of identity, technology, and bureaucracy in a dystopian setting.
E1353248 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: Dislocation | Statement: [Huang Jianxin, notableWork, Dislocation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dislocation
Context triple: [Huang Jianxin, notableWork, Dislocation]
  • A. Fracture
    Fracture is a 2007 legal thriller film starring Anthony Hopkins as a brilliant engineer who engages in a high-stakes battle of wits after confessing to shooting his wife.
  • B. Osgood
    Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
  • C. Roberts-Jones
    Roberts-Jones is a Welsh-origin surname notably borne by sculptor Ivor Roberts-Jones and other individuals of British heritage.
  • D. Aspetar
    Aspetar is a specialized sports medicine and orthopaedic hospital in Qatar renowned for treating elite athletes and advancing sports science.
  • E. Fractures
    "Fractures" is a melodic bass track by American DJ and producer Illenium, known for its emotional atmosphere and soaring, vocal-driven drops.
  • 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: Dislocation
Triple: [Huang Jianxin, notableWork, Dislocation]
Generated description
Dislocation is a 1986 Chinese science fiction film directed by Huang Jianxin that explores themes of identity, technology, and bureaucracy in a dystopian setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dislocation
Target entity description: Dislocation is a 1986 Chinese science fiction film directed by Huang Jianxin that explores themes of identity, technology, and bureaucracy in a dystopian setting.
  • A. Fracture
    Fracture is a 2007 legal thriller film starring Anthony Hopkins as a brilliant engineer who engages in a high-stakes battle of wits after confessing to shooting his wife.
  • B. Osgood
    Osgood is a surname of English origin borne by various notable individuals, including publishers, politicians, and athletes.
  • C. Roberts-Jones
    Roberts-Jones is a Welsh-origin surname notably borne by sculptor Ivor Roberts-Jones and other individuals of British heritage.
  • D. Aspetar
    Aspetar is a specialized sports medicine and orthopaedic hospital in Qatar renowned for treating elite athletes and advancing sports science.
  • E. Fractures
    "Fractures" is a melodic bass track by American DJ and producer Illenium, known for its emotional atmosphere and soaring, vocal-driven drops.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a8225c81908e80ae7eb1c1301b completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05b465ee5481908b7f698a4ee01c75 completed May 14, 2026, 11:39 a.m.
NEDg Description generation batch_6a05b4ff2a508190b1e53185ed95e7e9 completed May 14, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_6a05b5689068819087a326219b3ad9e0 completed May 14, 2026, 11:43 a.m.
Created at: April 10, 2026, 12:02 p.m.