Triple

T20029360
Position Surface form Disambiguated ID Type / Status
Subject Happythankyoumoreplease E495079 entity
Predicate hasCastMember P2308 FINISHED
Object Pablo Schreiber NE NERFINISHED

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: Pablo Schreiber | Statement: [Happythankyoumoreplease, hasCastMember, Pablo Schreiber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pablo Schreiber
Context triple: [Happythankyoumoreplease, hasCastMember, Pablo Schreiber]
  • A. Pablo Schreiber chosen
    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."
  • B. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • C. Daniel Berkhart
    Daniel Berkhart is a Marvel Comics supervillain who assumes the mantle of Mysterio after the original, Quentin Beck.
  • D. Corey Stoll
    Corey Stoll is an American actor known for his prominent roles in film and television, including his acclaimed performance as Congressman Peter Russo in the political drama series "House of Cards."
  • E. Michael Rapaport
    Michael Rapaport is an American actor and comedian known for his prolific character roles in film and television, as well as his outspoken, humorous public persona.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662908df081909a6c8ccf0dd90fff completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.