Triple

T14478462
Position Surface form Disambiguated ID Type / Status
Subject The Judge E359036 entity
Predicate starring P1507 FINISHED
Object Jeremy Strong E77370 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: Jeremy Strong | Statement: [The Judge, starring, Jeremy Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Strong
Context triple: [The Judge, starring, Jeremy Strong]
  • A. Jeremy Strong chosen
    Jeremy Strong is an American actor best known for his Emmy-winning role as Kendall Roy in the HBO series "Succession" and for his performances in films such as "The Big Short" and "Lincoln."
  • B. Adam Howell
    Adam Howell is a musician best known for his past role as a member of the Southern rock/alt-country band Drive-By Truckers.
  • C. Douglas Booth
    Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
  • D. Pablo Schreiber
    Pablo Schreiber is a Canadian-American actor known for his intense character roles in film and television, including standout performances in series like "Orange Is the New Black" and "American Gods."
  • E. Jesse Plemons
    Jesse Plemons is an American actor known for his versatile roles in film and television, including standout performances in "Breaking Bad," "Fargo," and several acclaimed dramas.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.