Triple

T35622768
Position Surface form Disambiguated ID Type / Status
Subject Ruth Stafford Peale E1029361 entity
Predicate familyName P18 FINISHED
Object Stafford Peale
Stafford Peale is the family surname of Ruth Stafford Peale, an American author, editor, and religious leader associated with the ministry of her husband, Norman Vincent Peale.
E2147451 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: Stafford Peale | Statement: [Ruth Stafford Peale, familyName, Stafford Peale]
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: Stafford Peale
Triple: [Ruth Stafford Peale, familyName, Stafford Peale]
Generated description
Stafford Peale is the family surname of Ruth Stafford Peale, an American author, editor, and religious leader associated with the ministry of her husband, Norman Vincent Peale.

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_69f76e0709408190bbe322bf1707ef6b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79ef2a6a08190a1722891792b7737 completed May 3, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a385bf555108190b41ad530941c42ee completed June 21, 2026, 9:47 p.m.
NEDg Description generation batch_6a385d4a1b9c81908f8eaca4b6fb952e completed June 21, 2026, 9:53 p.m.
NED2 Entity disambiguation (via description) batch_6a385dd6f1808190ab7f9530743cf1d6 completed June 21, 2026, 9:55 p.m.
Created at: May 3, 2026, 4:05 p.m.