Triple

T15012525
Position Surface form Disambiguated ID Type / Status
Subject WA-04 E377872 entity
Predicate hasRepresentative P192 FINISHED
Object Dan Newhouse
Dan Newhouse is a Republican U.S. Representative from Washington's 4th congressional district and a former state legislator and farmer.
E1169012 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: Dan Newhouse | Statement: [WA-04, hasRepresentative, Dan Newhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Newhouse
Context triple: [WA-04, hasRepresentative, Dan Newhouse]
  • A. David Newhouse
    David Newhouse is a screenwriter best known for his work on the film "Point Blank."
  • B. Dan Houser
    Dan Houser is a British video game writer and producer best known as the co-founder of Rockstar Games and a lead creative behind the Grand Theft Auto and Red Dead Redemption series.
  • C. Brad Houser
    Brad Houser was an American bassist and multi-instrumentalist best known as a founding member of the alternative rock band Edie Brickell & New Bohemians.
  • D. Dave Niehaus
    Dave Niehaus was the longtime Hall of Fame broadcaster and iconic play-by-play voice of the Seattle Mariners.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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: Dan Newhouse
Triple: [WA-04, hasRepresentative, Dan Newhouse]
Generated description
Dan Newhouse is a Republican U.S. Representative from Washington's 4th congressional district and a former state legislator and farmer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Newhouse
Target entity description: Dan Newhouse is a Republican U.S. Representative from Washington's 4th congressional district and a former state legislator and farmer.
  • A. David Newhouse
    David Newhouse is a screenwriter best known for his work on the film "Point Blank."
  • B. Dan Houser
    Dan Houser is a British video game writer and producer best known as the co-founder of Rockstar Games and a lead creative behind the Grand Theft Auto and Red Dead Redemption series.
  • C. Brad Houser
    Brad Houser was an American bassist and multi-instrumentalist best known as a founding member of the alternative rock band Edie Brickell & New Bohemians.
  • D. Dave Niehaus
    Dave Niehaus was the longtime Hall of Fame broadcaster and iconic play-by-play voice of the Seattle Mariners.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7613cec8190ac25e3f68c5d0edf completed April 15, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff677b7be08190afc2767835836908 completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff67f64d2c81908fd2d8a09cd0b369 completed May 9, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69ff6888a85481909e8cdd34ed230fa4 completed May 9, 2026, 5:02 p.m.
Created at: April 10, 2026, 2:55 a.m.