Triple

T6954416
Position Surface form Disambiguated ID Type / Status
Subject Crisis E161205 entity
Predicate starring P1507 FINISHED
Object Michael Beach E30488 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: Michael Beach | Statement: [Crisis, starring, Michael Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Beach
Context triple: [Crisis, starring, Michael Beach]
  • A. Michael Beach chosen
    Michael Beach is an American actor known for his versatile supporting roles in film and television, including prominent appearances in dramas throughout the 1990s and 2000s.
  • B. Kristopher Steven Keach
    Kristopher Steven Keach is one of the twin sons of English-American actress Jane Seymour and her former husband, actor-director James Keach.
  • C. Chris O'Donnell
    Chris O'Donnell is an American actor best known for his film roles in the 1990s and for starring as Special Agent G. Callen on the television series NCIS: Los Angeles.
  • D. Anthony Michael Hall
    Anthony Michael Hall is an American actor best known for his roles in 1980s John Hughes films like "The Breakfast Club" and "Sixteen Candles," as well as later television and film work.
  • E. Dylan Walsh
    Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75883f6888190a75515be49e7879e completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.