Triple

T32876416
Position Surface form Disambiguated ID Type / Status
Subject Adeline Jaffe Schulberg E840938 entity
Predicate birthName P65 FINISHED
Object Adeline Jaffe
Adeline Jaffe was an American literary and talent agent, political activist, and co-founder of the Schulberg literary agency, known for representing prominent writers and artists in the early 20th century.
E2049008 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: Adeline Jaffe | Statement: [Adeline Jaffe Schulberg, birthName, Adeline Jaffe]
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: Adeline Jaffe
Triple: [Adeline Jaffe Schulberg, birthName, Adeline Jaffe]
Generated description
Adeline Jaffe was an American literary and talent agent, political activist, and co-founder of the Schulberg literary agency, known for representing prominent writers and artists in the early 20th century.

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_69f349436ee88190b72ee12d0f3f508e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cfec63f48190a59913f7cadb0962 completed May 3, 2026, 4:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3576cb7af88190827ae7556508743a completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a35775669d481909b902b1206bac810 completed June 19, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_6a3577c128948190b5690c8ff15ecde1 completed June 19, 2026, 5:09 p.m.
Created at: May 1, 2026, 1:18 a.m.