Triple

T15435847
Position Surface form Disambiguated ID Type / Status
Subject Bored to Death E369759 entity
Predicate leadActor P1507 FINISHED
Object Zach Galifianakis E317960 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: Zach Galifianakis | Statement: [Bored to Death, leadActor, Zach Galifianakis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zach Galifianakis
Context triple: [Bored to Death, leadActor, Zach Galifianakis]
  • A. Zach Galifianakis chosen
    Zach Galifianakis is an American comedian and actor best known for his offbeat, deadpan humor and breakout role in the hit comedy film series "The Hangover."
  • B. Greg Galifianakis
    Greg Galifianakis is the brother of comedian and actor Zach Galifianakis, known primarily for his connection to the entertainer’s family.
  • C. Ike Barinholtz
    Ike Barinholtz is an American actor, comedian, writer, and director known for his work on the TV series "The Mindy Project" and films such as "Neighbors" and "Blockers."
  • D. Jeff Garlin
    Jeff Garlin is an American comedian and actor best known for his role as Jeff Greene on the HBO series "Curb Your Enthusiasm" and for his work in film and voice acting.
  • E. Rob Corddry
    Rob Corddry is an American actor and comedian best known for his work on "The Daily Show" and in films like "Hot Tub Time Machine."
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0a12e081908d7d2ae7c9774f94 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 3:21 a.m.