Triple

T10010336
Position Surface form Disambiguated ID Type / Status
Subject 12 Little Spells E198353 entity
Predicate producer P490 FINISHED
Object Matthew Stevens
Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
 E839161 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: Matthew Stevens | Statement: [12 Little Spells, producer, Matthew Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Stevens
Context triple: [12 Little Spells, producer, Matthew Stevens]
  • A. Ben Stevens
    Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
  • B. Mark Stevens
    Mark Stevens is a music producer known for his work with the artist Chaka.
  • C. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • D. Mark Stevens
    Mark Stevens is a film editor known for his work on the thriller "Phone Booth."
  • E. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • 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: Matthew Stevens
Triple: [12 Little Spells, producer, Matthew Stevens]
Generated description
Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Stevens
Target entity description: Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
  • A. Ben Stevens
    Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
  • B. Mark Stevens
    Mark Stevens is a music producer known for his work with the artist Chaka.
  • C. Mark Stevens
    Mark Stevens was an American film and television actor best known for his roles in 1940s and 1950s dramas and film noir.
  • D. Mark Stevens
    Mark Stevens is a film editor known for his work on the thriller "Phone Booth."
  • E. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0bab488190ac227259232d004a completed April 5, 2026, 5:21 p.m.
NEDg Description generation batch_69d29e04fa5c81908a8e0863c036c7f1 completed April 5, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69d29e5648608190a4fa1c7025d38ffd completed April 5, 2026, 5:39 p.m.
Created at: March 30, 2026, 8:52 p.m.