Triple

T13892993
Position Surface form Disambiguated ID Type / Status
Subject Material Girl E334019 entity
Predicate writer P1360 FINISHED
Object Peter Brown
Peter Brown is an American songwriter best known for co-writing Madonna’s hit song "Material Girl."
E1067578 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: Peter Brown | Statement: [Material Girl, writer, Peter Brown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Brown
Context triple: [Material Girl, writer, Peter Brown]
  • A. Peter Brown
    Peter Brown was an American actor best known for his roles in 1950s–1960s television Westerns such as "Lawman" and "Laredo."
  • B. Peter Browne
    Peter Browne is a relatively common personal name shared by multiple notable individuals across fields such as politics, religion, and academia.
  • C. Peter Harvey
    Peter Harvey is a set designer known for his work on the production "Diamonds."
  • D. Edward Hall
    Edward Hall was a 16th-century English lawyer, historian, and chronicler best known for his influential Tudor-era chronicle "The Union of the Two Noble and Illustre Families of Lancastre and Yorke."
  • E. John Guy
    John Guy is a British historian and biographer best known for his acclaimed works on Tudor history, including a major biography of Mary, Queen of Scots.
  • 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: Peter Brown
Triple: [Material Girl, writer, Peter Brown]
Generated description
Peter Brown is an American songwriter best known for co-writing Madonna’s hit song "Material Girl."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Brown
Target entity description: Peter Brown is an American songwriter best known for co-writing Madonna’s hit song "Material Girl."
  • A. Peter Brown
    Peter Brown was an American actor best known for his roles in 1950s–1960s television Westerns such as "Lawman" and "Laredo."
  • B. Peter Browne
    Peter Browne is a relatively common personal name shared by multiple notable individuals across fields such as politics, religion, and academia.
  • C. Peter Harvey
    Peter Harvey is a set designer known for his work on the production "Diamonds."
  • D. Edward Hall
    Edward Hall was a 16th-century English lawyer, historian, and chronicler best known for his influential Tudor-era chronicle "The Union of the Two Noble and Illustre Families of Lancastre and Yorke."
  • E. John Guy
    John Guy is a British historian and biographer best known for his acclaimed works on Tudor history, including a major biography of Mary, Queen of Scots.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71ca8a881908ac02687fbfe62fb completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c7e1247481908073c1e282c3619f completed May 3, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7c8f2b5588190b6143d676eb648a0 completed May 3, 2026, 10:15 p.m.
Created at: April 9, 2026, 10:15 p.m.