Triple

T33711581
Position Surface form Disambiguated ID Type / Status
Subject Clifford Ashley E863753 entity
Predicate notableWork P4 FINISHED
Object The Ashley Book of Knots
The Ashley Book of Knots is a comprehensive reference work that catalogues and illustrates thousands of knots, hitches, and splices, and is widely regarded as the definitive encyclopedia on the subject.
E2064092 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: The Ashley Book of Knots | Statement: [Clifford Ashley, notableWork, The Ashley Book of Knots]
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: The Ashley Book of Knots
Triple: [Clifford Ashley, notableWork, The Ashley Book of Knots]
Generated description
The Ashley Book of Knots is a comprehensive reference work that catalogues and illustrates thousands of knots, hitches, and splices, and is widely regarded as the definitive encyclopedia on the subject.

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_69f3498844608190bb8f9b14908d2510 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fabac0a08190aae0129f93f0b23e completed May 3, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a363ca78aec8190bc179bf0f30da38e completed June 20, 2026, 7:09 a.m.
NEDg Description generation batch_6a365674ecb481909f0e56ce3277c6b4 completed June 20, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_6a3656e722f48190b33ac5217c8a9921 completed June 20, 2026, 9:01 a.m.
Created at: May 1, 2026, 1:43 a.m.