Triple

T26851801
Position Surface form Disambiguated ID Type / Status
Subject Aaron Jastrow E676076 entity
Predicate hasRelative P367 FINISHED
Object Natalie Jastrow
Natalie Jastrow is a central fictional character in Herman Wouk’s World War II novels "The Winds of War" and "War and Remembrance," portrayed as a young American Jewish woman whose experiences in Europe and the Holocaust drive much of the narrative.
E689621 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: Natalie Jastrow | Statement: [Aaron Jastrow, hasRelative, Natalie Jastrow]
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: Natalie Jastrow
Triple: [Aaron Jastrow, hasRelative, Natalie Jastrow]
Generated description
Natalie Jastrow is a central fictional character in Herman Wouk’s World War II novels "The Winds of War" and "War and Remembrance," portrayed as a young American Jewish woman whose experiences in Europe and the Holocaust drive much of the narrative.

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_69eee9b9d7708190a15d7485709ae981 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b924d0c819089d6f99cc09bbe59 completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a125360e6048190b6a35f0cad4cade3 completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a12541561408190932abf960042009c completed May 24, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1254f46d288190aa6f45f8c8e9007d completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 5:17 a.m.