Triple

T19338295
Position Surface form Disambiguated ID Type / Status
Subject Delbert E483679 entity
Predicate possibleRelation P42547 FINISHED
Object Dilbert 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: Dilbert | Statement: [Delbert, possibleRelation, Dilbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dilbert
Context triple: [Delbert, possibleRelation, Dilbert]
  • A. Dilbert chosen
    Dilbert is a satirical comic strip centered on the absurdities of corporate office culture, created by cartoonist Scott Adams.
  • B. Dilbert Blog
    Dilbert Blog is Scott Adams’ personal blog where he shares commentary, humor, and opinions on topics such as politics, persuasion, and everyday life.
  • C. Dilbert and the Way of the Weasel
    Dilbert and the Way of the Weasel is a humorous business book by cartoonist Scott Adams that satirizes corporate culture and the evasive, self-serving behavior he calls "weaseling."
  • D. Doonesbury
    Doonesbury is a long-running American satirical comic strip by Garry Trudeau that humorously explores politics, culture, and everyday life.
  • E. Bloom County
    Bloom County is a satirical American comic strip by Berkeley Breathed that humorously critiques politics, culture, and everyday life through a cast of quirky animal and human characters.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6185538d48190ae4fa3ac0b0ca182 completed April 20, 2026, 12:13 p.m.
Created at: April 10, 2026, 1:33 p.m.