Triple

T29007342
Position Surface form Disambiguated ID Type / Status
Subject Betty Parsons E736471 entity
Predicate birthName P65 FINISHED
Object Betty Bierne Pierson
Betty Bierne Pierson, better known as Betty Parsons, was an influential American art dealer and gallerist renowned for championing Abstract Expressionist artists in mid-20th-century New York.
E1960225 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: Betty Bierne Pierson | Statement: [Betty Parsons, birthName, Betty Bierne Pierson]
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: Betty Bierne Pierson
Triple: [Betty Parsons, birthName, Betty Bierne Pierson]
Generated description
Betty Bierne Pierson, better known as Betty Parsons, was an influential American art dealer and gallerist renowned for championing Abstract Expressionist artists in mid-20th-century New York.

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_69f077eb81e88190ad9ff62cbb9f555e completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fd9cb788190beb90acc39f381b1 completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad20d5448819097632965213c9fe2 completed June 11, 2026, 3:19 p.m.
NEDg Description generation batch_6a2ad3d7a5f08190839786c75b37b39b completed June 11, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_6a2ae074e4d48190954cc37d2df4771d completed June 11, 2026, 4:21 p.m.
Created at: April 28, 2026, 9:39 a.m.