Triple

T3047455
Position Surface form Disambiguated ID Type / Status
Subject All I Wanna Do E83482 entity
Predicate hasMusicVideoDirector P4911 FINISHED
Object David Hogan
David Hogan is a music video director known for his work on popular songs and collaborations with major recording artists.
 E354223 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: David Hogan | Statement: [All I Wanna Do, hasMusicVideoDirector, David Hogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Hogan
Context triple: [All I Wanna Do, hasMusicVideoDirector, David Hogan]
  • A. Thomas McMahon
    Thomas McMahon was a labor leader associated with the early organization and development of industrial unionism in the United States.
  • B. Donal McLaughlin
    Donal McLaughlin was an American architect and industrial designer best known for creating the iconic emblem of the United Nations.
  • C. Thomas Parnell
    Thomas Parnell was an Irish poet and clergyman of the early 18th century, best known for his reflective and pastoral verse and his association with leading Augustan writers.
  • D. John Killoran
    John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • E. Neville Hogan
    Neville Hogan is a prominent mechanical engineer and researcher known for his influential contributions to robotics and human motor control.
  • 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: David Hogan
Triple: [All I Wanna Do, hasMusicVideoDirector, David Hogan]
Generated description
David Hogan is a music video director known for his work on popular songs and collaborations with major recording artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Hogan
Target entity description: David Hogan is a music video director known for his work on popular songs and collaborations with major recording artists.
  • A. Thomas McMahon
    Thomas McMahon was a labor leader associated with the early organization and development of industrial unionism in the United States.
  • B. Donal McLaughlin
    Donal McLaughlin was an American architect and industrial designer best known for creating the iconic emblem of the United Nations.
  • C. Thomas Parnell
    Thomas Parnell was an Irish poet and clergyman of the early 18th century, best known for his reflective and pastoral verse and his association with leading Augustan writers.
  • D. John Killoran
    John Killoran is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • E. Neville Hogan
    Neville Hogan is a prominent mechanical engineer and researcher known for his influential contributions to robotics and human motor control.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bad11b48190a5bd01e91a320e14 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3340904b4819097ac23cb2b3fe5d5 completed March 12, 2026, 9:45 p.m.
NEDg Description generation batch_69b338202d208190a2442e62250785ce completed March 12, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b344f93b8881909e00f4afe6493e1f completed March 12, 2026, 10:58 p.m.
Created at: March 8, 2026, 3:01 p.m.