Triple

T33239389
Position Surface form Disambiguated ID Type / Status
Subject Grandma Lynn E850921 entity
Predicate basedOn P98 FINISHED
Object Lynn from The Lovely Bones (novel)
Lynn from *The Lovely Bones* is a character who serves as the basis for Grandma Lynn, embodying a glamorous, outspoken, and emotionally complex older woman who helps her family cope with tragedy.
 E2042183 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: Lynn from The Lovely Bones (novel) | Statement: [Grandma Lynn, basedOn, Lynn from The Lovely Bones (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: Lynn from The Lovely Bones (novel)
Triple: [Grandma Lynn, basedOn, Lynn from The Lovely Bones (novel)]
Generated description
Lynn from *The Lovely Bones* is a character who serves as the basis for Grandma Lynn, embodying a glamorous, outspoken, and emotionally complex older woman who helps her family cope with tragedy.

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_69f34962386c81909ddc3bf9e18ddeb8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6daeec2e4819086613cd52d7dc348 completed May 3, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fe04afc8190b199e19e7f62ac1e completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a35308d798481908ed5bd2b3782e478 completed June 19, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a35318eb1c4819099588aeac83c8a6a completed June 19, 2026, 12:09 p.m.
Created at: May 1, 2026, 1:31 a.m.