Triple

T1749526
Position Surface form Disambiguated ID Type / Status
Subject Lie to Me E38406 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: [Lie to Me, productionCompany, Imagine Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imagine Television
Context triple: [Lie to Me, 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. 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.
  • E. Start TV
    Start TV is an American digital broadcast television network that primarily airs classic, female-led procedural dramas from the 1980s through the early 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63ee4d2081909dfd6d3244228c56 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e40cb88190953c639ee2464a54 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.