Triple

T30348483

Position	Surface form	Disambiguated ID	Type / Status
Subject	Yoko Littner	`E771926`	entity
Predicate	laterAlias	`P145926`	FINISHED
Object	Yomako Yomako is the undercover schoolteacher persona adopted by Yoko Littner in the anime series Tengen Toppa Gurren Lagann.	`E2036221`	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: Yomako | Statement: [Yoko Littner, laterAlias, Yomako]

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: Yomako
Triple: [Yoko Littner, laterAlias, Yomako]

Generated description

Yomako is the undercover schoolteacher persona adopted by Yoko Littner in the anime series Tengen Toppa Gurren Lagann.

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

Target predicate: laterAlias
Context triple: [Yoko Littner, laterAlias, Yomako]

A. laterNamed
Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
B. gaveAliasTo
Indicates that one entity assigned or provided an alternative name or alias to another entity.
C. aliasUsedFor
Indicates that one name or label is used as an alternative designation or alias for another.
D. subjectAlias chosen
Indicates that one entity is an alternative name, label, or alias referring to the same subject as another entity.
E. usesAliasFor
Indicates that one entity employs an alternative name or identifier to refer to another entity.
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_69f2248b9a208190bc3e6804acd5afd6`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69fedfd913f48190bdcd450980868d9a`	completed	May 9, 2026, 7:18 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34efef30408190a22ebbee8e61da34`	completed	June 19, 2026, 7:29 a.m.
NEDg	Description generation	`batch_6a34f38f684c8190b78c6099ea7a6e1f`	completed	June 19, 2026, 7:45 a.m.
NED2	Entity disambiguation (via description)	`batch_6a34f44bf06481909e8011dd816e6601`	completed	June 19, 2026, 7:48 a.m.
PD	Predicate disambiguation	`batch_69fedf58c6e88190821a7156054c9086`	completed	May 9, 2026, 7:16 a.m.

Created at: April 29, 2026, 7:56 p.m.