Triple

T9280064
Position Surface form Disambiguated ID Type / Status
Subject The Dundies E223043 entity
Predicate plotSummary P264 FINISHED
Object Michael Scott hosts his annual Dundie Awards for Dunder Mifflin employees at a local Chili’s, leading to a series of awkward and comedic moments. LITERAL FINISHED

How this triple was built (1 step)

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: Michael Scott hosts his annual Dundie Awards for Dunder Mifflin employees at a local Chili’s, leading to a series of awkward and comedic moments. | Statement: [The Dundies, plotSummary, Michael Scott hosts his annual Dundie Awards for Dunder Mifflin employees at a local Chili’s, leading to a series of awkward and comedic moments.]

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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cd9a1c8190af0521baa428ce10 completed April 1, 2026, 11:55 a.m.
Created at: March 30, 2026, 7:34 p.m.