Triple

T3342337
Position Surface form Disambiguated ID Type / Status
Subject Parenthood E70287 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: [Parenthood, productionCompany, Imagine Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imagine Television
Context triple: [Parenthood, 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. This TV
    This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
  • D. Tiv
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • E. Big Ticket Television
    Big Ticket Television is an American television production company known for producing popular sitcoms and syndicated series in the 1990s and 2000s.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a946ba88190bd40ba7481baf28d completed March 12, 2026, 7:57 p.m.
Created at: March 8, 2026, 3:12 p.m.