Triple

T32777863
Position Surface form Disambiguated ID Type / Status
Subject Sonia Kaspbrak E838267 entity
Predicate memberOfFictionalFamily P4276 FINISHED
Object Kaspbrak family
The Kaspbrak family is a fictional family from Stephen King’s novel "It," most notably including the overbearing mother Sonia and her hypochondriac son Eddie.
E2022010 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: Kaspbrak family | Statement: [Sonia Kaspbrak, memberOfFictionalFamily, Kaspbrak family]
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: Kaspbrak family
Triple: [Sonia Kaspbrak, memberOfFictionalFamily, Kaspbrak family]
Generated description
The Kaspbrak family is a fictional family from Stephen King’s novel "It," most notably including the overbearing mother Sonia and her hypochondriac son Eddie.

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_69f3493a824c8190938489ba69041d08 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd4590ec8190b3b7f0e5dae1ee1b completed May 3, 2026, 4:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a7cec5c08190bab0ff87a1bc4906 completed June 19, 2026, 2:22 a.m.
NEDg Description generation batch_6a34a8c9ff148190bb0a898592a43028 completed June 19, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a34a975be8881909994d6bf3f5eec61 completed June 19, 2026, 2:29 a.m.
Created at: May 1, 2026, 1:13 a.m.