Triple

T34552273
Position Surface form Disambiguated ID Type / Status
Subject Madeline Carroll E887103 entity
Predicate notableWork P4 FINISHED
Object Private Practice
Private Practice is an American medical drama television series that follows Dr. Addison Montgomery and her colleagues at a private clinic in Los Angeles, spun off from the hit show Grey’s Anatomy.
 E175659 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: Private Practice | Statement: [Madeline Carroll, notableWork, Private Practice]
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: Private Practice
Triple: [Madeline Carroll, notableWork, Private Practice]
Generated description
Private Practice is an American medical drama television series that follows Dr. Addison Montgomery and her colleagues at a private clinic in Los Angeles, spun off from the hit show Grey’s Anatomy.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72028d93881909548ade51193e552 completed May 3, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3736205d4481909662c06866f9cecf completed June 21, 2026, 12:53 a.m.
NEDg Description generation batch_6a3736e618a08190bf12b3d753d12270 completed June 21, 2026, 12:57 a.m.
NED2 Entity disambiguation (via description) batch_6a3737749e6c81908f2f4eedb9ba704f completed June 21, 2026, 12:59 a.m.
Created at: May 1, 2026, 2:02 a.m.