Triple

T23730414
Position Surface form Disambiguated ID Type / Status
Subject John Fante E586394 entity
Predicate spouse P13 FINISHED
Object Joyce Smart
Joyce Smart was the wife of American novelist and screenwriter John Fante, known primarily in relation to his life and literary career.
E1739654 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: Joyce Smart | Statement: [John Fante, spouse, Joyce Smart]
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: Joyce Smart
Triple: [John Fante, spouse, Joyce Smart]
Generated description
Joyce Smart was the wife of American novelist and screenwriter John Fante, known primarily in relation to his life and literary career.

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_69e24907dc9c8190be074c9c96a0ec2d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b9193b14819096f1c7b11a441569 completed April 29, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12090c186c8190ace26c8afff630fa completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a1209a175e481909f713b13a9e8d3a0 completed May 23, 2026, 8:10 p.m.
NED2 Entity disambiguation (via description) batch_6a120a18cf84819084da110d13063fe9 completed May 23, 2026, 8:12 p.m.
Created at: April 17, 2026, 7:09 p.m.