Triple

T1226332
Position Surface form Disambiguated ID Type / Status
Subject Empire E26334 entity
Predicate productionCompany P490 FINISHED
Object Imagine Television E84354 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: Imagine Television | Statement: [Empire, productionCompany, Imagine Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imagine Television
Context triple: [Empire, productionCompany, Imagine Television]
  • A. Imagine Television chosen
    Imagine Television is the television production division of Imagine Entertainment, known for developing and producing a wide range of scripted and unscripted TV series.
  • B. Mi TV
    Mi TV is a line of smart televisions by Xiaomi that run on the Android TV platform, offering integrated streaming apps and smart features.
  • C. The Great American Broadcast
    The Great American Broadcast is a 1941 musical comedy film about the early days of radio, featuring Gary Merrill among its cast.
  • D. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • E. Legendary Television
    Legendary Television is the television production arm of Legendary Pictures, known for developing and producing scripted series across cable, streaming, and broadcast platforms.
  • 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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be39908481908cca21aaf0828415 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a0fcf508190be3668bd55f6f6d6 completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:47 p.m.