Triple

T4418015
Position Surface form Disambiguated ID Type / Status
Subject Mc E95023 entity
Predicate contrastsWith P278 FINISHED
Object Nic
Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
E437050 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: Nic | Statement: [Mc, contrastsWith, Nic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nic
Context triple: [Mc, contrastsWith, Nic]
  • A. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • B. Nick
    Nick is the NATO reporting name for the Japanese World War II twin-engine heavy fighter aircraft Kawasaki Ki-45.
  • C. Nick
    Nick is the shortened name of Nearly Headless Nick, the ghost of Gryffindor House in the Harry Potter series.
  • D. Nik
    Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
  • E. 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.
  • 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: Nic
Triple: [Mc, contrastsWith, Nic]
Generated description
Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nic
Target entity description: Nic is an entity characterized in opposition to "Mc," suggesting it embodies contrasting qualities, roles, or attributes within their shared context.
  • A. Nick
    Nick is the given name of Nick Holonyak Jr., the American engineer and inventor widely known for creating the first practical visible-spectrum LED.
  • B. Nick
    Nick is the NATO reporting name for the Japanese World War II twin-engine heavy fighter aircraft Kawasaki Ki-45.
  • C. Nick
    Nick is the shortened name of Nearly Headless Nick, the ghost of Gryffindor House in the Harry Potter series.
  • D. Nik
    Nik is one of the three futuristic, anime-style "Spheriks" characters that served as official mascots for the 2002 FIFA World Cup in South Korea and Japan.
  • E. 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.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551d5d7481908528c2de0a6fda06 completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61fa6d88190b98810b542835817 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f68a994c8190a5b524a4db16b097 completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f6ece3b08190b880743e9fe4dbad completed March 15, 2026, 12:01 a.m.
Created at: March 12, 2026, 11:29 p.m.