Triple

T15709732
Position Surface form Disambiguated ID Type / Status
Subject Jean Doumanian Productions E380806 entity
Predicate notableWork P4 FINISHED
Object State and Main E649032 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: State and Main | Statement: [Jean Doumanian Productions, notableWork, State and Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: State and Main
Context triple: [Jean Doumanian Productions, notableWork, State and Main]
  • A. State and Main chosen
    State and Main is a satirical comedy film about a Hollywood production disrupting life in a small New England town.
  • B. The State
    "The State" is a foundational political science text by Woodrow Wilson that analyzes the nature, functions, and evolution of government and political institutions.
  • C. The State
    The State is an American sketch comedy troupe best known for its influential 1990s MTV series featuring an ensemble of future prominent comedians.
  • D. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • E. State
    The State is the governing authority of a defined territory that holds the ultimate power to create and enforce laws, including granting law enforcement agencies their legal authority.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757b7e0c81909b32aecc093c93e4 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.