Triple

T11597265
Position Surface form Disambiguated ID Type / Status
Subject The World to Come E275036 entity
Predicate starring P1507 FINISHED
Object Christopher Abbott E162961 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: Christopher Abbott | Statement: [The World to Come, starring, Christopher Abbott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Abbott
Context triple: [The World to Come, starring, Christopher Abbott]
  • A. Christopher Abbott chosen
    Christopher Abbott is an American actor known for his roles in independent films and television series, including his breakout performance in the HBO series "Girls."
  • B. Logan Marshall-Green
    Logan Marshall-Green is an American actor and director known for his roles in films like "Prometheus" and "Upgrade" as well as various television series.
  • C. Michael Pitt
    Michael Pitt is an American actor and musician best known for his roles in films like "The Dreamers" and "Funny Games" and for his prominent television work in series such as "Boardwalk Empire" and "Hannibal."
  • D. Noah Perabo
    Noah Perabo is a sibling of American actress Piper Perabo, known primarily in relation to her.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89549c870819086e16e9110bbad87 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7cad108819082eebb3ca130f5b8 completed April 22, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:38 p.m.