Triple

T23052402
Position Surface form Disambiguated ID Type / Status
Subject What Is Hip? E574053 entity
Predicate writer P1360 FINISHED
Object David Garibaldi
David Garibaldi is an American drummer best known for his innovative, funk-driven work with the band Tower of Power.
E1575999 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 Garibaldi | Statement: [What Is Hip?, writer, David Garibaldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Garibaldi
Context triple: [What Is Hip?, writer, David Garibaldi]
  • A. Arthur Gallucci
    Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
  • B. William Garin
    William Garin is a skilled European mercenary archer who becomes a key defender of China against monstrous creatures in the fantasy action film "The Great Wall."
  • C. John Zulberti
    John Zulberti is a former standout lacrosse player best known for his collegiate career with the Syracuse University men's lacrosse program.
  • D. David Giovani
    David Giovani is a youth-focused category of the Italian David di Donatello film awards, decided by the votes of young jurors.
  • E. Richard Grieco
    Richard Grieco is an American actor and former fashion model best known for his roles in the TV series "21 Jump Street" and its spin-off "Booker," as well as various film and television appearances in the late 1980s and 1990s.
  • 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 Garibaldi
Triple: [What Is Hip?, writer, David Garibaldi]
Generated description
David Garibaldi is an American drummer best known for his innovative, funk-driven work with the band Tower of Power.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Garibaldi
Target entity description: David Garibaldi is an American drummer best known for his innovative, funk-driven work with the band Tower of Power.
  • A. Arthur Gallucci
    Arthur Gallucci was the husband of Hungarian-American socialite and actress Magda Gabor.
  • B. William Garin
    William Garin is a skilled European mercenary archer who becomes a key defender of China against monstrous creatures in the fantasy action film "The Great Wall."
  • C. John Zulberti
    John Zulberti is a former standout lacrosse player best known for his collegiate career with the Syracuse University men's lacrosse program.
  • D. David Giovani
    David Giovani is a youth-focused category of the Italian David di Donatello film awards, decided by the votes of young jurors.
  • E. Richard Grieco
    Richard Grieco is an American actor and former fashion model best known for his roles in the TV series "21 Jump Street" and its spin-off "Booker," as well as various film and television appearances in the late 1980s and 1990s.
  • 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_69e245ba7ae48190be606dbc54120e39 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867d010c8190bc5dba6758d0b797 completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f33a6588190a0c3376e4120b45b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c3fd6ae3c8190ad5debec1c122750 completed May 19, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4064012c819083b2ffe795226ab6 completed May 19, 2026, 10:50 a.m.
Created at: April 17, 2026, 3:54 p.m.