Triple

T37563962
Position Surface form Disambiguated ID Type / Status
Subject The Good Doctor E933900 entity
Predicate originallyProducedOn P21829 FINISHED
Object Broadway
Broadway is New York City's famed theater district known for its large-scale professional stage productions and status as the pinnacle of American commercial theater.
 E16252 NE FINISHED

How this triple was built (3 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: Broadway | Statement: [The Good Doctor, originallyProducedOn, Broadway]
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: Broadway
Triple: [The Good Doctor, originallyProducedOn, Broadway]
Generated description
Broadway is New York City's famed theater district known for its large-scale professional stage productions and status as the pinnacle of American commercial theater.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originallyProducedOn
Context triple: [The Good Doctor, originallyProducedOn, Broadway]
  • A. producedOn
    Indicates that something was created, manufactured, or brought into existence at a specific date or time.
  • B. originallyProducedAs
    Indicates that one entity was first created, released, or manufactured in the form of another specified entity or format.
  • C. originallyReleasedOn chosen
    Indicates the date or platform on which something (such as a work, product, or media item) was first made publicly available.
  • D. originallyProducedIn
    Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
  • E. firstProducedAt
    Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
  • F. None of above.

Provenance (6 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_69f76ecb4acc8190b53f96d0b013e415 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7f00838819094bc0a201b28b1da completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a9100f208190a5c02a0b58bdcc64 completed June 28, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a40a99908548190acfc7149786dc43c completed June 28, 2026, 4:56 a.m.
PD Predicate disambiguation batch_6a037a1553e08190bb7424c448cb1f33 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:17 p.m.