Triple

T10482277
Position Surface form Disambiguated ID Type / Status
Subject CB4 E247201 entity
Predicate director P255 FINISHED
Object Tamra Davis E395103 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: Tamra Davis | Statement: [CB4, director, Tamra Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamra Davis
Context triple: [CB4, director, Tamra Davis]
  • A. Tamra Davis chosen
    Tamra Davis is an American film and television director known for helming popular comedies and music videos, including the Adam Sandler movie "Billy Madison."
  • B. Debralee Scott
    Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
  • C. Teri Hudson
    Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
  • D. Tanita Strahan
    Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
  • E. Tara Diane Davis
    Tara Diane Davis is the daughter of American cartoonist Jim Davis, best known as the creator of the comic strip "Garfield."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933c5caa08190a5fba92ebf4b0ff9 completed April 10, 2026, 5:30 p.m.
Created at: April 6, 2026, 12:22 p.m.