Triple

T33775560
Position Surface form Disambiguated ID Type / Status
Subject Liam Stewart E865505 entity
Predicate appearsIn P795 FINISHED
Object Never Fade
Never Fade is a young adult dystopian novel by Alexandra Bracken, serving as the second book in The Darkest Minds series.
E2069069 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: Never Fade | Statement: [Liam Stewart, appearsIn, Never Fade]
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: Never Fade
Triple: [Liam Stewart, appearsIn, Never Fade]
Generated description
Never Fade is a young adult dystopian novel by Alexandra Bracken, serving as the second book in The Darkest Minds series.

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_69f3498df6f88190bf9647ea4e4a956e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fc951ac081908d92663a305a7676 completed May 3, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366e8b6c50819099a5da66a29b3ba9 completed June 20, 2026, 10:42 a.m.
NEDg Description generation batch_6a366f99682c8190a875e60f1003c54e completed June 20, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a36702f94d08190b0e223b1d1b2c917 completed June 20, 2026, 10:49 a.m.
Created at: May 1, 2026, 1:45 a.m.