Triple

T26430421
Position Surface form Disambiguated ID Type / Status
Subject Tillerman family E664490 entity
Predicate appearsInSeries P26455 FINISHED
Object Tillerman Cycle
The Tillerman Cycle is a series of young adult novels by Cynthia Voigt that follows the struggles and growth of the Tillerman siblings as they search for stability and identity after being abandoned by their mother.
 E1724253 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: Tillerman Cycle | Statement: [Tillerman family, appearsInSeries, Tillerman Cycle]
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: Tillerman Cycle
Triple: [Tillerman family, appearsInSeries, Tillerman Cycle]
Generated description
The Tillerman Cycle is a series of young adult novels by Cynthia Voigt that follows the struggles and growth of the Tillerman siblings as they search for stability and identity after being abandoned by their mother.

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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f611bd3ec0819080f559e2cb3889a0 completed May 2, 2026, 3:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aec878e0819084561b4a97d8a90c completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af9c1be081909d2e461e3da596d6 completed May 23, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a11b051d328819090f947755dda4cfc completed May 23, 2026, 1:49 p.m.
Created at: April 26, 2026, 11:48 p.m.