Triple

T18698379
Position Surface form Disambiguated ID Type / Status
Subject The Eyes of Tammy Faye E457180 entity
Predicate stars P1956 FINISHED
Object Sam Jaeger 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: Sam Jaeger | Statement: [The Eyes of Tammy Faye, stars, Sam Jaeger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Jaeger
Context triple: [The Eyes of Tammy Faye, stars, Sam Jaeger]
  • A. Sam Jaeger chosen
    Sam Jaeger is an American actor best known for his role as Joel Graham on the television drama series "Parenthood."
  • B. Thomas Roy Skerritt
    Thomas Roy Skerritt is an American actor best known for his roles in films such as "M*A*S*H," "Alien," and "Top Gun," as well as the television series "Picket Fences."
  • C. Jon Hale
    Jon Hale is an English football executive best known for serving as chairman of Hereford FC.
  • D. Hugh Brooke
    Hugh Brooke was a mid-20th-century screenwriter known for his work on British and American films, including the 1951 drama "Journey into Light."
  • E. Thomas Jane
    Thomas Jane is an American actor best known for his roles in films such as "The Punisher," "Deep Blue Sea," and "Boogie Nights," as well as the TV series "The Expanse."
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e984988190ae902d41edd8faff completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.