Triple

T14530765
Position Surface form Disambiguated ID Type / Status
Subject Elmer Weiss E340905 entity
Predicate name P16 FINISHED
Object Elmer Weiss E340905 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: Elmer Weiss | Statement: [Elmer Weiss, name, Elmer Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmer Weiss
Context triple: [Elmer Weiss, name, Elmer Weiss]
  • A. Elmer Weiss chosen
    Elmer Weiss is an individual notable enough to be recognized as a prominent bearer of the surname Weiss.
  • B. Elmer Layden
    Elmer Layden was an American football player, coach, and executive best known as one of Notre Dame’s famed “Four Horsemen” and later as the first commissioner of the National Football League.
  • C. Bobby Mauch
    Bobby Mauch was an American child actor best known for starring alongside his identical twin brother Billy in the 1937 film "The Prince and the Pauper."
  • D. Brian Schottenheimer
    Brian Schottenheimer is an American football coach known for serving as an NFL offensive coordinator for multiple teams, including the New York Jets, St. Louis Rams, Seattle Seahawks, and Dallas Cowboys.
  • E. Wallace Wade
    Wallace Wade was a prominent American college football coach best known for leading successful programs at the University of Alabama and Duke University in the early to mid-20th century.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.