Triple

T26910733

Position	Surface form	Disambiguated ID	Type / Status
Subject	Stephen Egerton	`E677376`	entity
Predicate	notableWork	`P4`	FINISHED
Object	Mass Nerder Mass Nerder is a 1998 punk rock album by the band All, showcasing guitarist Stephen Egerton’s fast, melodic style and the group’s energetic, hook-driven sound.	`E1746791`	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: Mass Nerder | Statement: [Stephen Egerton, notableWork, Mass Nerder]

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: Mass Nerder
Triple: [Stephen Egerton, notableWork, Mass Nerder]

Generated description

Mass Nerder is a 1998 punk rock album by the band All, showcasing guitarist Stephen Egerton’s fast, melodic style and the group’s energetic, hook-driven sound.

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_69eee9bcef1c8190be88586bb902bb9b`	completed	April 27, 2026, 4:44 a.m.
NER	Named-entity recognition	`batch_69f61fda907c8190ad532e2fe4198b37`	completed	May 2, 2026, 4:01 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a121eb338ec8190b4fc02f7714ffee7`	completed	May 23, 2026, 9:40 p.m.
NEDg	Description generation	`batch_6a121f90eec08190bd18be556349e464`	completed	May 23, 2026, 9:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a12205e89f4819098a8901d520e9c7d`	completed	May 23, 2026, 9:47 p.m.

Created at: April 27, 2026, 6:01 a.m.