Triple

T16849604
Position Surface form Disambiguated ID Type / Status
Subject Whitney M. Young Magnet High School E409634 entity
Predicate hasAlumnus P51 FINISHED
Object Malcolm London
Malcolm London is a Chicago-based poet, educator, and activist known for his powerful spoken word performances and work on social justice issues.
E1236715 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: Malcolm London | Statement: [Whitney M. Young Magnet High School, hasAlumnus, Malcolm London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malcolm London
Context triple: [Whitney M. Young Magnet High School, hasAlumnus, Malcolm London]
  • A. Malcolm Clarke
    Malcolm Clarke is a filmmaker best known for directing the Academy Award–winning documentary short "The Lady in Number 6: Music Saved My Life."
  • B. Malcolm Clarke
    Malcolm Clarke was a British composer and sound engineer best known for his pioneering electronic music work on the television series Doctor Who.
  • C. Malcolm Elliott
    Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
  • D. Malcolm Hart
    Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
  • E. Malcolm Moss
    Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
  • 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: Malcolm London
Triple: [Whitney M. Young Magnet High School, hasAlumnus, Malcolm London]
Generated description
Malcolm London is a Chicago-based poet, educator, and activist known for his powerful spoken word performances and work on social justice issues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malcolm London
Target entity description: Malcolm London is a Chicago-based poet, educator, and activist known for his powerful spoken word performances and work on social justice issues.
  • A. Malcolm Clarke
    Malcolm Clarke is a filmmaker best known for directing the Academy Award–winning documentary short "The Lady in Number 6: Music Saved My Life."
  • B. Malcolm Clarke
    Malcolm Clarke was a British composer and sound engineer best known for his pioneering electronic music work on the television series Doctor Who.
  • C. Malcolm Elliott
    Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
  • D. Malcolm Hart
    Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
  • E. Malcolm Moss
    Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b377b5d881909f0878dd9957f3bc completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1f02648190937c692af83843dc completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.