Triple

T32932989
Position Surface form Disambiguated ID Type / Status
Subject Laura Lee Hope E842446 entity
Predicate usedFor P98 FINISHED
Object Six Little Bunkers series
The Six Little Bunkers series is a set of early 20th-century children's books following the everyday adventures of a family of six siblings, published under the Laura Lee Hope house name.
E2029753 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: Six Little Bunkers series | Statement: [Laura Lee Hope, usedFor, Six Little Bunkers series]
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: Six Little Bunkers series
Triple: [Laura Lee Hope, usedFor, Six Little Bunkers series]
Generated description
The Six Little Bunkers series is a set of early 20th-century children's books following the everyday adventures of a family of six siblings, published under the Laura Lee Hope house name.

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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d10722e88190bb59c5768ce23d43 completed May 3, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d2642be88190b3834d23da8cd900 completed June 19, 2026, 5:23 a.m.
NEDg Description generation batch_6a34d32a229481909a407bea93892806 completed June 19, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34d3ab5e98819091f34300bf83621d completed June 19, 2026, 5:29 a.m.
Created at: May 1, 2026, 1:20 a.m.