Triple

T9206516
Position Surface form Disambiguated ID Type / Status
Subject Theresa Preston-Werner E220993 entity
Predicate coFounderOf P104 FINISHED
Object Oula
Oula is a modern maternity care company and clinic network focused on providing personalized, holistic pregnancy and childbirth services.
 E785923 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: Oula | Statement: [Theresa Preston-Werner, coFounderOf, Oula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oula
Context triple: [Theresa Preston-Werner, coFounderOf, Oula]
  • A. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • B. Oliena
    Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
  • C. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • D. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • E. Oulujoki
    Oulujoki is a river in northern Finland that flows from Lake Oulujärvi to the city of Oulu and into the Gulf of Bothnia.
  • 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: Oula
Triple: [Theresa Preston-Werner, coFounderOf, Oula]
Generated description
Oula is a modern maternity care company and clinic network focused on providing personalized, holistic pregnancy and childbirth services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oula
Target entity description: Oula is a modern maternity care company and clinic network focused on providing personalized, holistic pregnancy and childbirth services.
  • A. Oulainen
    Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
  • B. Oliena
    Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
  • C. Terjola
    Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
  • D. Viiala
    Viiala was a former municipality in southern Finland that later became part of the town of Akaa.
  • E. Oulujoki
    Oulujoki is a river in northern Finland that flows from Lake Oulujärvi to the city of Oulu and into the Gulf of Bothnia.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065e09fbc81908159b386038b3d73 completed April 4, 2026, 1:14 a.m.
NEDg Description generation batch_69d0676ea53c81908b16dfce6810f6b0 completed April 4, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0684c1a108190bc7fdfdced16e24c completed April 4, 2026, 1:24 a.m.
Created at: March 30, 2026, 7:26 p.m.