Triple

T7226815
Position Surface form Disambiguated ID Type / Status
Subject The Good Doctor E154800 entity
Predicate productionCompany P490 FINISHED
Object 3AD
3AD is a television production company founded by actor Daniel Dae Kim, best known for producing the American medical drama series "The Good Doctor."
 E650109 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: 3AD | Statement: [The Good Doctor, productionCompany, 3AD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 3AD
Context triple: [The Good Doctor, productionCompany, 3AD]
  • A. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • B. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • C. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • D. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • E. A30
    The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
  • 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: 3AD
Triple: [The Good Doctor, productionCompany, 3AD]
Generated description
3AD is a television production company founded by actor Daniel Dae Kim, best known for producing the American medical drama series "The Good Doctor."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 3AD
Target entity description: 3AD is a television production company founded by actor Daniel Dae Kim, best known for producing the American medical drama series "The Good Doctor."
  • A. 3A
    3A is a highway designation used for several auxiliary or alternate routes of U.S. Route 3 and related highways in New England.
  • B. D3A
    D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
  • C. A34
    A34 is a major trunk road in England that runs from Winchester in Hampshire to Salford near Manchester, serving as an important north–south transport route.
  • D. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • E. A30
    The A30 is a major trunk road in southern England that runs from London to Land's End in Cornwall, serving as an important route across the southwest.
  • 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.