Triple

T18009579
Position Surface form Disambiguated ID Type / Status
Subject Stanley Mann E430841 entity
Predicate name P16 FINISHED
Object Stanley Mann 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: Stanley Mann | Statement: [Stanley Mann, name, Stanley Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Mann
Context triple: [Stanley Mann, name, Stanley Mann]
  • A. Stanley Mann chosen
    Stanley Mann was a British-born screenwriter known for his work on numerous films from the 1950s through the 1980s, including genre and adventure movies.
  • B. Edward Herrmann
    Edward Herrmann was an American actor known for his distinguished character roles in film and television, including portrayals of historical figures and his role as Richard Gilmore on "Gilmore Girls."
  • C. Ken Kramer
    Ken Kramer is a theatre professional best known for establishing the Persephone Theatre, a prominent regional theatre company in Saskatoon, Saskatchewan.
  • D. Michael Levine
    Michael Levine is the brother of Maroon 5 lead singer and television personality Adam Levine.
  • E. Michael Levine
    Michael Levine is a prominent American developmental and molecular biologist known for his influential research on gene regulation and for coauthoring major genetics textbooks.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51e13788190bebbbdd7340e0982 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.