Triple

T16783837
Position Surface form Disambiguated ID Type / Status
Subject Nick Glennie-Smith E407920 entity
Predicate givenName P17 FINISHED
Object Nick
Nick is the given name of English film composer and conductor Nick Glennie-Smith, known for his work on numerous Hollywood soundtracks.
 E1234261 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: Nick | Statement: [Nick Glennie-Smith, givenName, Nick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nick
Context triple: [Nick Glennie-Smith, givenName, Nick]
  • A. Nick
    Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
  • 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. Nick
    Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
  • E. Nick
    Nick is the central protagonist of the 1987 film "Happy New Year," around whom the story’s main events and character dynamics revolve.
  • 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: Nick
Triple: [Nick Glennie-Smith, givenName, Nick]
Generated description
Nick is the given name of English film composer and conductor Nick Glennie-Smith, known for his work on numerous Hollywood soundtracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nick
Target entity description: Nick is the given name of English film composer and conductor Nick Glennie-Smith, known for his work on numerous Hollywood soundtracks.
  • A. Nick
    Nick is a masculine given name, often a short form of Nicholas, commonly used in English-speaking countries.
  • B. 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.
  • C. Nick
    Nick is the shortened name of Nearly Headless Nick, the ghost of Gryffindor House in the Harry Potter series.
  • D. Nick
    Nick is a character in the British stage comedy "Bedroom Farce," known for his involvement in the play’s interwoven romantic and domestic mishaps.
  • E. Nick
    Nick is one of the central characters in Edward Albee’s play "Who’s Afraid of Virginia Woolf?", a young biology professor whose tense interactions with an older couple expose themes of ambition, disillusionment, and marital conflict.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b218d31881908d896e688ebd171c completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab056dc88190aeb9e135ae955125 completed May 10, 2026, 3:57 p.m.
NEDg Description generation batch_6a00abe78194819098a2867c7cb5b8b2 completed May 10, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00afddb580819090e6b4e9dd4c1545 completed May 10, 2026, 4:18 p.m.
Created at: April 10, 2026, 5:22 a.m.