Triple

T18339199
Position Surface form Disambiguated ID Type / Status
Subject Jon Heder E439356 entity
Predicate name P16 FINISHED
Object Jon Heder 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: Jon Heder | Statement: [Jon Heder, name, Jon Heder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Heder
Context triple: [Jon Heder, name, Jon Heder]
  • A. Jon Heder chosen
    Jon Heder is an American actor best known for his breakout role in the cult comedy film "Napoleon Dynamite" and subsequent performances in various comedy movies.
  • B. Rob Riggle
    Rob Riggle is an American actor, comedian, and former Marine officer known for his energetic, often over-the-top roles in film and television comedies.
  • C. Bill Hader
    Bill Hader is an American actor, comedian, writer, and director best known for his work on Saturday Night Live and for creating and starring in the dark comedy series Barry.
  • D. Adam DeVine
    Adam DeVine is an American actor, comedian, and writer best known for co-creating and starring in the sitcom "Workaholics" and for his roles in the "Pitch Perfect" film series and various comedy television shows.
  • E. Will Ferrell
    Will Ferrell is an American comedian, actor, writer, and producer best known for his work on "Saturday Night Live" and a series of hit comedy films such as "Anchorman" and "Elf."
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ed07db48190a15e957c96b1c5bf completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.