Triple

T2225579
Position Surface form Disambiguated ID Type / Status
Subject Paul Simon E48639 entity
Predicate hasChild P369 FINISHED
Object Harper Simon
Harper Simon is an American singer-songwriter, guitarist, and producer known for his solo work and collaborations that blend folk, rock, and experimental influences.
E246087 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: Harper Simon | Statement: [Paul Simon, hasChild, Harper Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harper Simon
Context triple: [Paul Simon, hasChild, Harper Simon]
  • A. Maryan Mulholland Simon
    Maryan Mulholland Simon was the longtime wife of U.S. Supreme Court Justice John Paul Stevens.
  • B. Julia Michaels
    Julia Michaels is an American singer-songwriter known for her introspective pop hits and for penning songs for major artists like Justin Bieber and Selena Gomez.
  • C. Ari PenSmith
    Ari PenSmith is a songwriter and producer known for contributing to major contemporary R&B and pop projects, including work with artists like Beyoncé.
  • D. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • E. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • 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: Harper Simon
Triple: [Paul Simon, hasChild, Harper Simon]
Generated description
Harper Simon is an American singer-songwriter, guitarist, and producer known for his solo work and collaborations that blend folk, rock, and experimental influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harper Simon
Target entity description: Harper Simon is an American singer-songwriter, guitarist, and producer known for his solo work and collaborations that blend folk, rock, and experimental influences.
  • A. Maryan Mulholland Simon
    Maryan Mulholland Simon was the longtime wife of U.S. Supreme Court Justice John Paul Stevens.
  • B. Julia Michaels
    Julia Michaels is an American singer-songwriter known for her introspective pop hits and for penning songs for major artists like Justin Bieber and Selena Gomez.
  • C. Ari PenSmith
    Ari PenSmith is a songwriter and producer known for contributing to major contemporary R&B and pop projects, including work with artists like Beyoncé.
  • D. Jo Hayden
    Jo Hayden is the ambitious young vaudeville singer portrayed by Judy Garland in the 1942 musical film "For Me and My Gal."
  • E. Dylan Tichenor
    Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03ffcbc8190a27e32af831c7be5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6565513081908b1117d16c375aec completed March 9, 2026, 6:15 a.m.
NEDg Description generation batch_69ae67387ce08190aca43fdf949e98b2 completed March 9, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae679aa46c8190a7431f661f65580b completed March 9, 2026, 6:24 a.m.
Created at: March 4, 2026, 7:47 p.m.