Triple

T36470204

Position	Surface form	Disambiguated ID	Type / Status
Subject	Gibbs phenomenon	`E898519`	entity
Predicate	firstAnalyzedBy	`P108792`	FINISHED
Object	Henry Wilbraham Henry Wilbraham was a 19th-century mathematician known for his early analysis of what is now called the Gibbs phenomenon in Fourier series.	`E2185586`	NE FINISHED

How this triple was built (3 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: Henry Wilbraham | Statement: [Gibbs phenomenon, firstAnalyzedBy, Henry Wilbraham]

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: Henry Wilbraham
Triple: [Gibbs phenomenon, firstAnalyzedBy, Henry Wilbraham]

Generated description

Henry Wilbraham was a 19th-century mathematician known for his early analysis of what is now called the Gibbs phenomenon in Fourier series.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: firstAnalyzedBy
Context triple: [Gibbs phenomenon, firstAnalyzedBy, Henry Wilbraham]

A. firstTestedBy
Indicates that an item, concept, or process was initially tested or tried out by a particular agent or entity.
B. firstAnnouncedBy
Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
C. firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
D. firstDocumentedBy chosen
Indicates that one entity is the person or source that originally recorded, reported, or documented the other entity for the first time.
E. firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
F. None of above.

Provenance (6 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_69f76e58ebd88190b75d9b169b59d793`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_6a037c8e2c648190a65fc9c7872861af`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39cfd514d481908ec4e629f7d84232`	completed	June 23, 2026, 12:14 a.m.
NEDg	Description generation	`batch_6a39d0f20ab08190a6bde046883cf801`	completed	June 23, 2026, 12:18 a.m.
NED2	Entity disambiguation (via description)	`batch_6a39d247e258819087c5d1ec9142645b`	completed	June 23, 2026, 12:24 a.m.
PD	Predicate disambiguation	`batch_6a037a0bf4b88190bdcfae9a14b51f0a`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:10 p.m.