Triple

T9471347
Position Surface form Disambiguated ID Type / Status
Subject Connor Murphy E228396 entity
Predicate portrayedBy P1507 FINISHED
Object Mike Faist E228407 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: Mike Faist | Statement: [Connor Murphy, portrayedBy, Mike Faist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Faist
Context triple: [Connor Murphy, portrayedBy, Mike Faist]
  • A. Mike Faist chosen
    Mike Faist is an American actor known for originating the role of Connor Murphy in the Broadway musical "Dear Evan Hansen" and for his acclaimed performances in film and television.
  • B. Michael Wilford
    Michael Wilford was a British architect known for his postmodern designs and for continuing the work of James Stirling on prominent cultural and public buildings.
  • C. Brent Rowan
    Brent Rowan is an American session guitarist and record producer best known for his extensive work in country music.
  • D. Anthony Rogers
    Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
  • E. Deryck Guyler
    Deryck Guyler was a British character actor and comedian best known for his roles in mid-20th-century radio and television sitcoms.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fee13a88190b4532fb92ddaf401 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122cd0728819088f6c832cd90d832 completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:54 p.m.