Triple

T23891086
Position Surface form Disambiguated ID Type / Status
Subject Peter Guthrie Tait E600770 entity
Predicate notableWork P4 FINISHED
Object Treatise on Natural Philosophy
Treatise on Natural Philosophy is a foundational 19th-century physics text co-authored by William Thomson (Lord Kelvin) and Peter Guthrie Tait that helped formalize classical mechanics and thermodynamics.
E1608219 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: Treatise on Natural Philosophy | Statement: [Peter Guthrie Tait, notableWork, Treatise on Natural Philosophy]
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: Treatise on Natural Philosophy
Triple: [Peter Guthrie Tait, notableWork, Treatise on Natural Philosophy]
Generated description
Treatise on Natural Philosophy is a foundational 19th-century physics text co-authored by William Thomson (Lord Kelvin) and Peter Guthrie Tait that helped formalize classical mechanics and thermodynamics.

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_69e295341ac0819080647f2908af793c completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1cd036dd48190be508063b18762a4 completed April 29, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f76250a80819083a57975797978d9 completed May 21, 2026, 9:16 p.m.
NEDg Description generation batch_6a0f780affcc819087dadc271b17a459 completed May 21, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7895a12c8190999f81b9b4cd7b9b completed May 21, 2026, 9:26 p.m.
Created at: April 17, 2026, 8:25 p.m.