Triple

T10919303
Position Surface form Disambiguated ID Type / Status
Subject Little Women (musical) E257903 entity
Predicate hasComposer P1361 FINISHED
Object Jason Howland
Jason Howland is an American composer, songwriter, and producer best known for his work on Broadway musicals and theatrical scores.
E896199 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: Jason Howland | Statement: [Little Women (musical), hasComposer, Jason Howland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Howland
Context triple: [Little Women (musical), hasComposer, Jason Howland]
  • A. Keith Howland
    Keith Howland is an American guitarist best known as the longtime lead guitarist for the rock band Chicago.
  • B. Jared Howe
    Jared Howe is a key human resistance fighter and love interest in the science fiction film "The Host," adapted from Stephenie Meyer’s novel.
  • C. Ken Howery
    Ken Howery is an American entrepreneur, venture capitalist, and co-founder of PayPal who later served as a partner at Founders Fund and as U.S. Ambassador to Sweden.
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Jason Halbert
    Jason Halbert is a music producer and keyboardist best known for his long-time work with Kelly Clarkson as both a producer and musical director.
  • 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: Jason Howland
Triple: [Little Women (musical), hasComposer, Jason Howland]
Generated description
Jason Howland is an American composer, songwriter, and producer best known for his work on Broadway musicals and theatrical scores.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jason Howland
Target entity description: Jason Howland is an American composer, songwriter, and producer best known for his work on Broadway musicals and theatrical scores.
  • A. Keith Howland
    Keith Howland is an American guitarist best known as the longtime lead guitarist for the rock band Chicago.
  • B. Jared Howe
    Jared Howe is a key human resistance fighter and love interest in the science fiction film "The Host," adapted from Stephenie Meyer’s novel.
  • C. Ken Howery
    Ken Howery is an American entrepreneur, venture capitalist, and co-founder of PayPal who later served as a partner at Founders Fund and as U.S. Ambassador to Sweden.
  • D. Justin Wilkes
    Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
  • E. Jason Halbert
    Jason Halbert is a music producer and keyboardist best known for his long-time work with Kelly Clarkson as both a producer and musical director.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6fdc1608190a072b919d2cee387 completed April 18, 2026, 12:57 a.m.
NEDg Description generation batch_69e2fab58f588190ae2d33f32e71333b completed April 18, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e317809c0881909e793db965194014 completed April 18, 2026, 5:32 a.m.
Created at: April 8, 2026, 9:22 p.m.