Triple

T23226612
Position Surface form Disambiguated ID Type / Status
Subject Spinout E581032 entity
Predicate starring P1507 FINISHED
Object Carl Betz 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: Carl Betz | Statement: [Spinout, starring, Carl Betz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Betz
Context triple: [Spinout, starring, Carl Betz]
  • A. Carl Betz chosen
    Carl Betz was an American actor best known for his television roles in series such as "The Donna Reed Show" and "Judd, for the Defense."
  • B. Albert Benitz
    Albert Benitz was a German cinematographer known for his work on numerous films during the early to mid-20th century, including projects associated with Leni Riefenstahl.
  • C. Carl Baer
    Carl Baer is an individual notable enough to be recognized as a bearer of the surname Baer, though specific widely known biographical details about him are not clearly established.
  • D. Carl Blaurock
    Carl Blaurock was an American mountaineer and early Colorado climbing pioneer known for being among the first to summit all of the state’s 14,000-foot peaks.
  • E. Walter Scheib
    Walter Scheib was an American chef best known for serving as the White House Executive Chef for the Clinton and George W. Bush administrations.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922e2d2c81908c0f3fa5df8a5c58 completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:09 p.m.