Triple

T7226816
Position Surface form Disambiguated ID Type / Status
Subject The Good Doctor E154800 entity
Predicate productionCompany P490 FINISHED
Object EnterMedia
EnterMedia is a television production company known for helping produce the medical drama series "The Good Doctor."
E650110 NE FINISHED

How this triple was built (4 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: EnterMedia | Statement: [The Good Doctor, productionCompany, EnterMedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EnterMedia
Context triple: [The Good Doctor, productionCompany, EnterMedia]
  • A. Sky Stream
    Sky Stream is a streaming television service from Sky that delivers live TV and on-demand content over broadband without the need for a satellite dish.
  • B. Zeen
    Zeen was a web-based publishing tool that allowed users to easily create and share digital magazines and visual stories online.
  • C. Tank Stream
    Tank Stream is a historic watercourse in central Sydney that once served as the colony’s primary freshwater supply and now runs mostly underground beneath the modern city.
  • D. Odeo
    Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
  • E. Xumo
    Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: EnterMedia
Triple: [The Good Doctor, productionCompany, EnterMedia]
Generated description
EnterMedia is a television production company known for helping produce the medical drama series "The Good Doctor."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EnterMedia
Target entity description: EnterMedia is a television production company known for helping produce the medical drama series "The Good Doctor."
  • A. Sky Stream
    Sky Stream is a streaming television service from Sky that delivers live TV and on-demand content over broadband without the need for a satellite dish.
  • B. Zeen
    Zeen was a web-based publishing tool that allowed users to easily create and share digital magazines and visual stories online.
  • C. Tank Stream
    Tank Stream is a historic watercourse in central Sydney that once served as the colony’s primary freshwater supply and now runs mostly underground beneath the modern city.
  • D. Odeo
    Odeo was an early podcasting startup co-founded by the team behind Obvious Corporation that played a key role in the creation of Twitter.
  • E. Xumo
    Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
  • F. None of above. chosen

Provenance (5 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cccdde308190a02c6892f61025e2 completed March 28, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd7e891c8190a6a82227addac434 completed March 28, 2026, 12:45 p.m.
Created at: March 27, 2026, 2:54 p.m.