Triple

T11473421
Position Surface form Disambiguated ID Type / Status
Subject My Lottery Dream Home E271965 entity
Predicate host P2592 FINISHED
Object David Bromstad E941309 NE FINISHED

How this triple was built (2 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: David Bromstad | Statement: [My Lottery Dream Home, host, David Bromstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Bromstad
Context triple: [My Lottery Dream Home, host, David Bromstad]
  • A. David Bromstad chosen
    David Bromstad is an American interior designer and television personality best known for his colorful style and long-running work on HGTV.
  • B. David Blangsted
    David Blangsted was an American film and television editor known for his work on numerous prominent projects, including the 1990 miniseries "It."
  • C. David Madsen
    David Madsen is a screenwriter best known for his work on the psychological thriller film "Copycat."
  • D. Douglas Hegdahl
    Douglas Hegdahl is a former U.S. Navy sailor and Vietnam War prisoner of war known for his remarkable memory, which he used to secretly record details about fellow POWs while held at the "Hanoi Hilton" and later provide crucial testimony about their treatment.
  • E. Eric Bergstol
    Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69f018963218819097771032a88688af completed April 28, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:35 p.m.