Triple

T35785356
Position Surface form Disambiguated ID Type / Status
Subject Jean Sasson E1034549 entity
Predicate notableWork P4 FINISHED
Object Princess Sultana’s Daughters
"Princess Sultana’s Daughters" is a nonfiction book by Jean Sasson that continues the story of a Saudi princess and focuses on the lives, struggles, and limited freedoms of her daughters within the constraints of Saudi Arabia’s patriarchal society.
E2154890 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: Princess Sultana’s Daughters | Statement: [Jean Sasson, notableWork, Princess Sultana’s Daughters]
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: Princess Sultana’s Daughters
Triple: [Jean Sasson, notableWork, Princess Sultana’s Daughters]
Generated description
"Princess Sultana’s Daughters" is a nonfiction book by Jean Sasson that continues the story of a Saudi princess and focuses on the lives, struggles, and limited freedoms of her daughters within the constraints of Saudi Arabia’s patriarchal society.

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_69f76e1575908190aaa306d843b41c14 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a22a1d2881909f51b6148da0a238 completed May 3, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38860b19ec81908e591fb1ebb252e7 completed June 22, 2026, 12:47 a.m.
NEDg Description generation batch_6a38873747ec8190a68e7f9d69c33de1 completed June 22, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_6a3887ae2a908190a0a6f2e167dd124e completed June 22, 2026, 12:54 a.m.
Created at: May 3, 2026, 4:06 p.m.