Triple

T36007131
Position Surface form Disambiguated ID Type / Status
Subject Painlevé transcendents E1041302 entity
Predicate areSolutionsOf P14252 FINISHED
Object Painlevé IV
Painlevé IV is a nonlinear second-order ordinary differential equation whose special-function solutions, the fourth Painlevé transcendents, play a key role in integrable systems and mathematical physics.
E2170046 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: Painlevé IV | Statement: [Painlevé transcendents, areSolutionsOf, Painlevé IV]
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: Painlevé IV
Triple: [Painlevé transcendents, areSolutionsOf, Painlevé IV]
Generated description
Painlevé IV is a nonlinear second-order ordinary differential equation whose special-function solutions, the fourth Painlevé transcendents, play a key role in integrable systems and mathematical physics.

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_69f76e2a02208190aedd1f9025a8b300 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acb1320c81909f62b3c8101ec5a7 completed May 3, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddf2aa888190b40731f505cdb519 completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f25041d8819090bc71c7fafec1b0 completed June 22, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_6a38f70d25c481908c4e2f845086ff27 completed June 22, 2026, 8:49 a.m.
Created at: May 3, 2026, 4:07 p.m.