Triple

T9201183
Position Surface form Disambiguated ID Type / Status
Subject Norman H. Nie E220841 entity
Predicate familyName P18 FINISHED
Object Nie
Nie is the surname of Norman H. Nie, an American political scientist and co-creator of the SPSS statistical software package.
 E784262 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: Nie | Statement: [Norman H. Nie, familyName, Nie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nie
Context triple: [Norman H. Nie, familyName, Nie]
  • A. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • B. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • C. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • D. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • E. Nic
    Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
  • 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: Nie
Triple: [Norman H. Nie, familyName, Nie]
Generated description
Nie is the surname of Norman H. Nie, an American political scientist and co-creator of the SPSS statistical software package.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nie
Target entity description: Nie is the surname of Norman H. Nie, an American political scientist and co-creator of the SPSS statistical software package.
  • A. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • B. Neo
    Neo is the protagonist of the science fiction film series "The Matrix," a hacker who becomes humanity's prophesied savior within a simulated reality.
  • C. Nic
    Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • D. Nic
    Nic is one of the two lesbian mothers in the film "The Kids Are All Right," portrayed as a responsible, controlling physician whose family life is disrupted when her children seek out their sperm-donor father.
  • E. Nic
    Nic is a short given name or nickname commonly used for people named Nicholas, Nicola, or similar names.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9429b448190a078e9cdfedd4918 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c451210819091188151d799e4cb completed April 4, 2026, 12:33 a.m.
NEDg Description generation batch_69d05dbbe0d08190a15107c17948167f completed April 4, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_69d05e34ae6881908172770c6097a5e5 completed April 4, 2026, 12:41 a.m.
Created at: March 30, 2026, 7:25 p.m.