Triple

T4666733
Position Surface form Disambiguated ID Type / Status
Subject 24 E102862 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: [24, productionCompany, Imagine Television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imagine Television
Context triple: [24, 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. On Television
    On Television is a critical work by sociologist Pierre Bourdieu that analyzes how television shapes public discourse, culture, and power relations.
  • C. Ion Television
    Ion Television is an American broadcast television network known for airing syndicated dramas, crime procedurals, and other off-network series in a largely rerun-focused schedule.
  • D. 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.
  • E. This TV
    This TV is an American digital multicast television network known for airing a wide selection of feature films and classic television programming.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be038912488190a109d4ce624b813d completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.