Triple

T29862869
Position Surface form Disambiguated ID Type / Status
Subject the Wibberly siblings E758370 entity
Predicate partOf P40 FINISHED
Object Books of Beginning trilogy
The Books of Beginning trilogy is a middle-grade fantasy series that follows three siblings who discover powerful magical books and embark on adventures to save their world.
E1895249 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: Books of Beginning trilogy | Statement: [the Wibberly siblings, partOf, Books of Beginning trilogy]
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: Books of Beginning trilogy
Triple: [the Wibberly siblings, partOf, Books of Beginning trilogy]
Generated description
The Books of Beginning trilogy is a middle-grade fantasy series that follows three siblings who discover powerful magical books and embark on adventures to save their world.

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_69f2245b4dec8190b85f664d918a00a5 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f676868f148190a6e39745c76e36ff completed May 2, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2721e018fc8190a4178ba0079ffb52 completed June 8, 2026, 8:11 p.m.
NEDg Description generation batch_6a272600dcdc8190905cfeee767fd5d1 completed June 8, 2026, 8:28 p.m.
NED2 Entity disambiguation (via description) batch_6a272657902c8190b575bad27649a760 completed June 8, 2026, 8:30 p.m.
Created at: April 29, 2026, 5:50 p.m.