Triple

T3310353
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Dean E69556 entity
Predicate name P16 FINISHED
Object Jeffrey Dean E69556 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: Jeffrey Dean | Statement: [Jeffrey Dean, name, Jeffrey Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Dean
Context triple: [Jeffrey Dean, name, Jeffrey Dean]
  • A. Jeffrey Dean chosen
    Jeffrey Dean is a prominent American computer scientist and software engineer best known for his influential work on large-scale distributed systems and infrastructure at Google.
  • B. Sean Patrick Duke
    Sean Patrick Duke is the birth name of American actor Sean Astin, known for roles in films such as "The Goonies," "Rudy," and "The Lord of the Rings" trilogy.
  • C. John Ferrell
    John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
  • D. Jeffrey Donovan
    Jeffrey Donovan is an American actor best known for starring as Michael Westen in the television series "Burn Notice" and appearing in films such as "Sicario" and its sequel.
  • E. Jonathan Tucker
    Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eb6dd08190bab1ce80f417966a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32507bc808190b9c3fce4c456b0aa completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.