Triple

T15656573
Position Surface form Disambiguated ID Type / Status
Subject Parkland E376456 entity
Predicate castMember P1668 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: [Parkland, castMember, Jeremy Strong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Strong
Context triple: [Parkland, castMember, 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. Jeremy Pope
    Jeremy Pope is an American actor and singer known for his acclaimed performances on Broadway and in television and film, including multiple Tony and Emmy-nominated roles.
  • D. Douglas Booth
    Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
  • E. 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."
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ef1f83c8190bbf65eed162cbd55 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7569d30c8190a711d78d05e9b8c5 completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 4:15 a.m.