Triple

T5937258
Position Surface form Disambiguated ID Type / Status
Subject 99 Problems E132072 entity
Predicate writer P1360 FINISHED
Object Norman Landsberg
Norman Landsberg is a songwriter best known for co-writing the track "99 Problems."
 E561421 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: Norman Landsberg | Statement: [99 Problems, writer, Norman Landsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norman Landsberg
Context triple: [99 Problems, writer, Norman Landsberg]
  • A. Milburn G. Apt
    Milburn G. Apt was a United States Air Force test pilot and the first person to exceed Mach 3, who died in the crash of the Bell X-2 during a record-setting flight in 1956.
  • B. Ben H. Kline
    Ben H. Kline was an American film professional best known for his work as an assistant director and cinematographer during Hollywood’s early studio era.
  • C. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • D. Donald F. Hornig
    Donald F. Hornig was an American chemist and science advisor who served as a key presidential science counselor, notably to President Lyndon B. Johnson.
  • E. Norman Z. McLeod
    Norman Z. McLeod was an American film director best known for his work on classic Hollywood comedies in the 1930s and 1940s, including films with the Marx Brothers and W.C. Fields.
  • 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: Norman Landsberg
Triple: [99 Problems, writer, Norman Landsberg]
Generated description
Norman Landsberg is a songwriter best known for co-writing the track "99 Problems."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norman Landsberg
Target entity description: Norman Landsberg is a songwriter best known for co-writing the track "99 Problems."
  • A. Milburn G. Apt
    Milburn G. Apt was a United States Air Force test pilot and the first person to exceed Mach 3, who died in the crash of the Bell X-2 during a record-setting flight in 1956.
  • B. Ben H. Kline
    Ben H. Kline was an American film professional best known for his work as an assistant director and cinematographer during Hollywood’s early studio era.
  • C. Sidney B. Kramer
    Sidney B. Kramer was an American publisher best known as a co-founder of the mass-market paperback company Bantam Books.
  • D. Donald F. Hornig
    Donald F. Hornig was an American chemist and science advisor who served as a key presidential science counselor, notably to President Lyndon B. Johnson.
  • E. Norman Z. McLeod
    Norman Z. McLeod was an American film director best known for his work on classic Hollywood comedies in the 1930s and 1940s, including films with the Marx Brothers and W.C. Fields.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108202c608190b930859eb926ea15 completed March 23, 2026, 9:30 a.m.
NEDg Description generation batch_69c10b0c23d48190a9e683858c29449d completed March 23, 2026, 9:42 a.m.
NED2 Entity disambiguation (via description) batch_69c10bb3dd6481909d61d2cda5150ea7 completed March 23, 2026, 9:45 a.m.
Created at: March 22, 2026, 4:01 p.m.