Triple

T27051424

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mei school	`E684781`	entity
Predicate	roleTypeSpecialization	`P67145`	FINISHED
Object	guimen dan Guimen dan is a specialized female role type in Peking opera, particularly associated with the performance traditions of the Mei school.	`E1754382`	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: guimen dan | Statement: [Mei school, roleTypeSpecialization, guimen dan]

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: guimen dan
Triple: [Mei school, roleTypeSpecialization, guimen dan]

Generated description

Guimen dan is a specialized female role type in Peking opera, particularly associated with the performance traditions of the Mei school.

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

Target predicate: roleTypeSpecialization
Context triple: [Mei school, roleTypeSpecialization, guimen dan]

A. positionSpecialization
Indicates that one position is a more specialized or focused variant of another, broader position.
B. roleInSpecification chosen
Indicates that an entity participates in a specification with a particular role or function within that specification.
C. labelSpecialization
Indicates that one label is a more specific or specialized version of another label within a labeling or classification system.
D. specialRole
Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
E. portrayedAsSpecialization
Indicates that one entity is depicted or represented as a specialized or more specific version of 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_69ef14829fac8190914bef9ecc3005d7`	completed	April 27, 2026, 7:47 a.m.
NER	Named-entity recognition	`batch_69f625411c14819086492062e86ba8d5`	completed	May 2, 2026, 4:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a123ac9d00c81909f88688d18dfa296`	completed	May 23, 2026, 11:39 p.m.
NEDg	Description generation	`batch_6a123b8c553081909d6afd9e8a9878af`	completed	May 23, 2026, 11:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a123c3427dc8190b6e78dcaabf69fab`	completed	May 23, 2026, 11:45 p.m.
PD	Predicate disambiguation	`batch_69f623a91b9c8190b2e2fdbc55cb89b6`	completed	May 2, 2026, 4:17 p.m.

Created at: April 27, 2026, 8:14 a.m.