Triple

T29567548

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dúngal (traditional attribution)	`E753205`	entity
Predicate	nameInTradition	`P78011`	FINISHED
Object	Dúngal Dúngal is a traditionally attributed historical or literary figure whose identity and works are preserved mainly through later cultural or scholarly tradition.	`E1875446`	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: Dúngal | Statement: [Dúngal (traditional attribution), nameInTradition, Dúngal]

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: Dúngal
Triple: [Dúngal (traditional attribution), nameInTradition, Dúngal]

Generated description

Dúngal is a traditionally attributed historical or literary figure whose identity and works are preserved mainly through later cultural or scholarly tradition.

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

Target predicate: nameInTradition
Context triple: [Dúngal (traditional attribution), nameInTradition, Dúngal]

A. nameInWesternTradition
Indicates that an entity’s name is expressed following Western naming conventions, typically with the given name preceding the family name.
B. mentionedInTraditionOf
Indicates that something is referenced, recognized, or discussed within the body of beliefs, practices, or narratives of a particular tradition.
C. belongsToNamingTradition chosen
Indicates that an entity is associated with or classified under a particular naming tradition or convention.
D. textBelongsToTradition
Indicates that a given text is associated with, derived from, or recognized as part of a particular intellectual, cultural, or religious tradition.
E. eraInTradition
Indicates that something belongs to, occurs within, or is classified as part of a particular era as defined by a given tradition or cultural-historical framework.
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_69f0ef7fcb4881908a933110adb9bda1`	completed	April 28, 2026, 5:33 p.m.
NER	Named-entity recognition	`batch_69f67257b0448190a13011af81c81449`	completed	May 2, 2026, 9:53 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a262d68eff88190bbdbcb569e590116`	completed	June 8, 2026, 2:48 a.m.
NEDg	Description generation	`batch_6a26317def3881908eb2e11b7754e1ac`	completed	June 8, 2026, 3:05 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2635ad095481909c2fbed70b7a5f4c`	completed	June 8, 2026, 3:23 a.m.
PD	Predicate disambiguation	`batch_69f66ec5bf508190ad088b89455252bd`	completed	May 2, 2026, 9:38 p.m.

Created at: April 28, 2026, 5:54 p.m.