Triple

T7526769
Position Surface form Disambiguated ID Type / Status
Subject Alex Karev E177912 entity
Predicate portrayedBy P1507 FINISHED
Object Justin Chambers E182273 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: Justin Chambers | Statement: [Alex Karev, portrayedBy, Justin Chambers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justin Chambers
Context triple: [Alex Karev, portrayedBy, Justin Chambers]
  • A. Justin Chambers chosen
    Justin Chambers is an American actor best known for his long-running role as Dr. Alex Karev on the television medical drama "Grey’s Anatomy."
  • B. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • C. Douglas Booth
    Douglas Booth is an English actor known for his roles in film and television dramas, including literary and period adaptations.
  • D. Colin Donnell
    Colin Donnell is an American actor best known for his television roles in series such as "Arrow" and "Chicago Med," as well as his work on Broadway.
  • E. 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.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b369c88190b8a9a196e2166f9f completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:47 p.m.