Triple

T3237085
Position Surface form Disambiguated ID Type / Status
Subject Enron: The Smartest Guys in the Room E67879 entity
Predicate musicBy P1952 FINISHED
Object Matt Hauser
Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
E381278 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: Matt Hauser | Statement: [Enron: The Smartest Guys in the Room, musicBy, Matt Hauser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Hauser
Context triple: [Enron: The Smartest Guys in the Room, musicBy, Matt Hauser]
  • A. Matt Graver
    Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
  • B. Josh Kramon
    Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
  • C. Josh Schaeffer
    Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Ryan Dusick
    Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
  • E. Matt Chesse
    Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
  • 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: Matt Hauser
Triple: [Enron: The Smartest Guys in the Room, musicBy, Matt Hauser]
Generated description
Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Hauser
Target entity description: Matt Hauser is a composer and musician known for creating the score for the documentary film "Enron: The Smartest Guys in the Room."
  • A. Matt Graver
    Matt Graver is a seasoned and morally ambiguous CIA operative who orchestrates covert operations against Mexican drug cartels in the film "Sicario."
  • B. Josh Kramon
    Josh Kramon is a television and film composer best known for scoring the cult mystery series "Veronica Mars."
  • C. Josh Schaeffer
    Josh Schaeffer is a film editor known for his work on major studio features, including the monster crossover blockbuster "Godzilla vs. Kong."
  • D. Ryan Dusick
    Ryan Dusick is an American musician best known as the original drummer and a founding member of the pop rock band Maroon 5.
  • E. Matt Chesse
    Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdc422d08190aa67bc39619c3290 completed March 14, 2026, 2:53 a.m.
NEDg Description generation batch_69b4ce5329cc8190882dede1c57fe321 completed March 14, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69b4cea9c7008190a69e3fa4cdd90fd8 completed March 14, 2026, 2:57 a.m.
Created at: March 8, 2026, 3:08 p.m.