Triple

T31355341
Position Surface form Disambiguated ID Type / Status
Subject Everything, Everything E799713 entity
Predicate authorOfSourceMaterial P2806 FINISHED
Object Nicola Yoon
Nicola Yoon is a Jamaican-American author of bestselling young adult novels, known for her emotionally resonant, diverse love stories such as "Everything, Everything" and "The Sun Is Also a Star."
E1959491 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: Nicola Yoon | Statement: [Everything, Everything, authorOfSourceMaterial, Nicola Yoon]
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: Nicola Yoon
Triple: [Everything, Everything, authorOfSourceMaterial, Nicola Yoon]
Generated description
Nicola Yoon is a Jamaican-American author of bestselling young adult novels, known for her emotionally resonant, diverse love stories such as "Everything, Everything" and "The Sun Is Also a Star."

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_69f224e5e9bc8190a16339328897c4f8 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f4533d08190af2673906bd73088 completed May 3, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a7223522881909b2a5f4b8e9b9002 completed June 11, 2026, 8:30 a.m.
NEDg Description generation batch_6a2a7625cb2481909d0b0e710cbecef8 completed June 11, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a2abce7dabc8190b0284b31eade05bb completed June 11, 2026, 1:49 p.m.
Created at: April 29, 2026, 9:17 p.m.