Triple

T24152291

Position	Surface form	Disambiguated ID	Type / Status
Subject	Rudolph of France	`E598568`	entity
Predicate	successorAsDukeOfBurgundy	`P154797`	FINISHED
Object	Hugh the Black Hugh the Black was a 10th-century Frankish nobleman who ruled as Duke of Burgundy following the death of King Rudolph of France.	`E1620266`	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: Hugh the Black | Statement: [Rudolph of France, successorAsDukeOfBurgundy, Hugh the Black]

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: Hugh the Black
Triple: [Rudolph of France, successorAsDukeOfBurgundy, Hugh the Black]

Generated description

Hugh the Black was a 10th-century Frankish nobleman who ruled as Duke of Burgundy following the death of King Rudolph of France.

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

Target predicate: successorAsDukeOfBurgundy
Context triple: [Rudolph of France, successorAsDukeOfBurgundy, Hugh the Black]

A. successorAsDukeOfBrittany
Indicates that one entity became the next Duke of Brittany following another entity in the line of succession.
B. successorAsDukeOfAnjou
Indicates that one entity became the next holder of the title Duke of Anjou after another entity.
C. successorAsDukeOfOrléans
Indicates that one entity became the next holder of the title Duke of Orléans after another entity.
D. successorAsDuke
Indicates that one person directly follows another in holding the title and position of duke.
E. successorAsDukeOfSavoy
Indicates that one entity became the next Duke of Savoy following another entity in the line of succession.
F. None of above. chosen

Provenance (7 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_69e288c9e488819093dd1acd91b08b8a`	completed	April 17, 2026, 7:23 p.m.
NER	Named-entity recognition	`batch_69f1e0e1e5748190bcc6681d409dcc05`	completed	April 29, 2026, 10:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fad3020ec8190bbd08339c8779b27`	completed	May 22, 2026, 1:11 a.m.
NEDg	Description generation	`batch_6a0fadf24a1c8190bf530988ba1b86de`	completed	May 22, 2026, 1:14 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0faeb55b6c8190944d1bd621b3f819`	completed	May 22, 2026, 1:17 a.m.
PD	Predicate disambiguation	`batch_69f176585f3481909beb907de252cd98`	completed	April 29, 2026, 3:09 a.m.
PDg	Predicate description generation	`batch_69f1785afe3c81909be28986ffe944bf`	completed	April 29, 2026, 3:17 a.m.

Created at: April 17, 2026, 11:30 p.m.