Triple

T14208562
Position Surface form Disambiguated ID Type / Status
Subject Night at the Museum: Battle of the Smithsonian E352163 entity
Predicate starring P1507 FINISHED
Object Jon Bernthal E137405 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: Jon Bernthal | Statement: [Night at the Museum: Battle of the Smithsonian, starring, Jon Bernthal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Bernthal
Context triple: [Night at the Museum: Battle of the Smithsonian, starring, Jon Bernthal]
  • A. Jon Bernthal chosen
    Jon Bernthal is an American actor known for his intense, rugged performances in film and television, including prominent roles in "The Walking Dead" and as the title character in Marvel's "The Punisher."
  • B. Adam Bernthal
    Adam Bernthal is a veterinarian and the brother of American actor Jon Bernthal.
  • C. Chris Swanson
    Chris Swanson is a music industry executive and co-founder of the independent record label Dead Oceans, known for its roster of acclaimed indie and alternative artists.
  • D. Brett Dalton
    Brett Dalton is an American actor best known for his role as Grant Ward on the television series "Marvel's Agents of S.H.I.E.L.D."
  • E. Frank Grillo
    Frank Grillo is an American actor best known for his tough, action-oriented roles in films such as the Purge series and the Marvel Cinematic Universe.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.