Triple

T3495518
Position Surface form Disambiguated ID Type / Status
Subject Magik Markers E73840 entity
Predicate hasMember P10 FINISHED
Object John Shaw
John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
E362402 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: John Shaw | Statement: [Magik Markers, hasMember, John Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Shaw
Context triple: [Magik Markers, hasMember, John Shaw]
  • A. John Shaw Jr.
    John Shaw Jr. was a 19th-century British architect known for his work on prominent institutional and collegiate buildings in the United Kingdom.
  • B. Sidney Wicks
    Sidney Wicks is a former American professional basketball player, best known as a four-time NBA All-Star forward in the 1970s, primarily with the Portland Trail Blazers.
  • C. Robert Sharp
    Robert Sharp is a personal name shared by multiple notable individuals across fields such as science, sports, and the arts.
  • D. Stan Shaw
    Stan Shaw is an American character actor known for his roles in films such as "Harlem Nights," "Rocky," and "The Boys in Company C."
  • E. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • 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: John Shaw
Triple: [Magik Markers, hasMember, John Shaw]
Generated description
John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Shaw
Target entity description: John Shaw is a musician best known as a member of the American noise rock band Magik Markers.
  • A. John Shaw Jr.
    John Shaw Jr. was a 19th-century British architect known for his work on prominent institutional and collegiate buildings in the United Kingdom.
  • B. Sidney Wicks
    Sidney Wicks is a former American professional basketball player, best known as a four-time NBA All-Star forward in the 1970s, primarily with the Portland Trail Blazers.
  • C. Robert Sharp
    Robert Sharp is a personal name shared by multiple notable individuals across fields such as science, sports, and the arts.
  • D. Stan Shaw
    Stan Shaw is an American character actor known for his roles in films such as "Harlem Nights," "Rocky," and "The Boys in Company C."
  • E. John Billington
    John Billington was an English settler best known as one of the Mayflower passengers at Plymouth Colony and the first person executed for murder in what became the United States.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbb06fd08190b6c1fadfce4148f0 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c5e1248190a4c42805fb9363f0 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b37442228c8190bc45782becd0642c completed March 13, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69b374bd5cdc81908a924a9f8b641a8d completed March 13, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:18 p.m.