Triple

T32847072
Position Surface form Disambiguated ID Type / Status
Subject Karen Aldrich E840127 entity
Predicate basedOnWork P7125 FINISHED
Object Ordinary People (1976 novel)
Ordinary People is Judith Guest’s 1976 debut novel, a psychological drama about a suburban family’s struggle with grief, guilt, and emotional breakdown after a tragic loss.
 E2025658 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: Ordinary People (1976 novel) | Statement: [Karen Aldrich, basedOnWork, Ordinary People (1976 novel)]
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: Ordinary People (1976 novel)
Triple: [Karen Aldrich, basedOnWork, Ordinary People (1976 novel)]
Generated description
Ordinary People is Judith Guest’s 1976 debut novel, a psychological drama about a suburban family’s struggle with grief, guilt, and emotional breakdown after a tragic loss.

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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce736b408190b7266820b6ec3cd1 completed May 3, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bd030e208190bc9682d59ebff957 completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34bdd9563481909fc9714f2a1872df completed June 19, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34bef5b65881908b336a301dc210a9 completed June 19, 2026, 4 a.m.
Created at: May 1, 2026, 1:17 a.m.