Triple

T12422415
Position Surface form Disambiguated ID Type / Status
Subject Erich Bergen E296807 entity
Predicate portrayed P1668 FINISHED
Object Blake Moran E282953 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: Blake Moran | Statement: [Erich Bergen, portrayed, Blake Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blake Moran
Context triple: [Erich Bergen, portrayed, Blake Moran]
  • A. Blake Moran chosen
    Blake Moran is a key fictional aide and policy advisor to the U.S. Secretary of State in the political drama television series "Madam Secretary."
  • B. Brian Molloy
    Brian Molloy is an Irish music industry figure best known as the founder of Dublin’s renowned Windmill Lane Studios, where many iconic recordings have been made.
  • C. Brian Molony
    Brian Molony is a former Canadian bank employee whose notorious embezzlement-fueled gambling addiction became the basis for the film "Owning Mahowny."
  • D. Michael Bourke
    Michael Bourke is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
  • E. Robin McAuley
    Robin McAuley is an Irish rock singer best known for his work with the McAuley Schenker Group and as a longtime vocalist in various hard rock and metal projects.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349552fc81909fe73dea082e3a25 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.