Triple

T13778334
Position Surface form Disambiguated ID Type / Status
Subject Chernobyl E331069 entity
Predicate stars P1956 FINISHED
Object Paul Ritter E717053 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: Paul Ritter | Statement: [Chernobyl, stars, Paul Ritter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Ritter
Context triple: [Chernobyl, stars, Paul Ritter]
  • A. Paul Ritter chosen
    Paul Ritter was an English stage and screen actor known for his versatile character roles in productions such as the sitcom "Friday Night Dinner," the miniseries "Chernobyl," and numerous acclaimed theatre performances.
  • B. Paul Lukas
    Paul Lukas was a Hungarian-American actor known for his distinguished stage and film career, including an Academy Award-winning performance in "Watch on the Rhine."
  • C. Allen Ritter
    Allen Ritter is an American record producer and songwriter known for his work with prominent hip-hop and R&B artists such as Drake, Travis Scott, and Kanye West.
  • D. Peter Hermann
    Peter Hermann is an American actor and producer best known for his roles on television series such as "Law & Order: Special Victims Unit" and "Younger."
  • E. Peter Riegert
    Peter Riegert is an American actor and director known for his roles in films such as "Animal House," "Local Hero," and "The Mask," as well as numerous television appearances.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0239cbfc81909064ac2457fdfff5 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7007d5c8190800456e32101903f completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 10:11 p.m.