Triple

T13602864
Position Surface form Disambiguated ID Type / Status
Subject Magic (1978 film) E324986 entity
Predicate starring P1507 FINISHED
Object Ed Lauter E783748 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: Ed Lauter | Statement: [Magic (1978 film), starring, Ed Lauter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Lauter
Context triple: [Magic (1978 film), starring, Ed Lauter]
  • A. Ed Lauter chosen
    Ed Lauter was an American character actor known for his distinctive bald-headed look and prolific supporting roles in films and television from the 1970s onward.
  • B. Glenn Fleshler
    Glenn Fleshler is an American character actor known for his intense and often menacing roles in film and television, including appearances in projects like "True Detective," "Billions," and "Joker."
  • C. Jack Lauer
    Jack Lauer is the son of former "Today" show co-anchor Matt Lauer.
  • D. Steve Rifkind
    Steve Rifkind is an American music executive and entrepreneur best known for founding the influential hip-hop label Loud Records and helping launch the careers of several major rap artists.
  • E. Hal Bidlack
    Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b4ae588190b293c71312ee4037 completed May 6, 2026, 8:16 p.m.
Created at: April 9, 2026, 9:49 p.m.