Triple

T4357241
Position Surface form Disambiguated ID Type / Status
Subject All Summer Long E98179 entity
Predicate writer P1360 FINISHED
Object Matthew Shafer
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
 E515882 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 Shafer | Statement: [All Summer Long, writer, Matthew Shafer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matthew Shafer
Context triple: [All Summer Long, writer, Matthew Shafer]
  • A. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • B. Matt Graver
    Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
  • C. Keith Fraase
    Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
  • D. Dave Keuning
    Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
  • E. Josh Schaeffer
    Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
  • 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 Shafer
Triple: [All Summer Long, writer, Matthew Shafer]
Generated description
Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matthew Shafer
Target entity description: Matthew Shafer, better known by his stage name Uncle Kracker, is an American singer-songwriter and musician recognized for his blend of rock, country, and pop influences.
  • A. Matthew Shafer
    Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
  • B. Matt Graver
    Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
  • C. Keith Fraase
    Keith Fraase is a film editor best known for his work on the movie "Chappaquiddick."
  • D. Dave Keuning
    Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
  • E. Josh Schaeffer
    Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351c68a588190ba14a298afacb1dc completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28ea49588190bf1bc4cb3ca4dcee completed March 21, 2026, 11:25 p.m.
NEDg Description generation batch_69bf2ad1b7e0819096b1ea7fc55401f2 completed March 21, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69bf2b65903c8190a34d77b11dd1fa87 completed March 21, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:16 p.m.