Triple

T36870690
Position Surface form Disambiguated ID Type / Status
Subject Yang–Lee edge singularity E911214 entity
Predicate relatedTo P37 FINISHED
Object Lee–Yang theorem
The Lee–Yang theorem is a fundamental result in statistical mechanics and mathematical physics that characterizes the distribution of zeros of the partition function in the complex plane and links them to phase transitions.
E2204510 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: Lee–Yang theorem | Statement: [Yang–Lee edge singularity, relatedTo, Lee–Yang theorem]
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: Lee–Yang theorem
Triple: [Yang–Lee edge singularity, relatedTo, Lee–Yang theorem]
Generated description
The Lee–Yang theorem is a fundamental result in statistical mechanics and mathematical physics that characterizes the distribution of zeros of the partition function in the complex plane and links them to phase transitions.

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_69f76e80f6f0819091cba8e19b269615 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cff265fc81908e37178535a9bd2d completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e161c05ac819081146729541cf460 completed June 26, 2026, 6:03 a.m.
NEDg Description generation batch_6a3e179c64f08190989ed1a64896b734 completed June 26, 2026, 6:09 a.m.
NED2 Entity disambiguation (via description) batch_6a3e1db9016c81908793c055864dc5dd completed June 26, 2026, 6:35 a.m.
Created at: May 3, 2026, 4:13 p.m.