Triple

T26543269

Position	Surface form	Disambiguated ID	Type / Status
Subject	Daniel Andrews	`E671448`	entity
Predicate	precededBy (Premier of Victoria)	`P74671`	FINISHED
Object	Denis Napthine Denis Napthine is an Australian politician who served as Premier of Victoria and long-time member of the Victorian Parliament.	`E1739748`	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: Denis Napthine | Statement: [Daniel Andrews, precededBy (Premier of Victoria), Denis Napthine]

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: Denis Napthine
Triple: [Daniel Andrews, precededBy (Premier of Victoria), Denis Napthine]

Generated description

Denis Napthine is an Australian politician who served as Premier of Victoria and long-time member of the Victorian Parliament.

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

Target predicate: precededBy (Premier of Victoria)
Context triple: [Daniel Andrews, precededBy (Premier of Victoria), Denis Napthine]

A. precededBy (as Premier of Victoria) chosen
Indicates that one individual previously held the position of Premier of Victoria before another individual.
B. precededBy (as Prime Minister)
Indicates that one person previously held the office of Prime Minister before another person.
C. succeededBy (as Premier of Victoria)
Indicates that one individual directly followed another in holding the office of Premier of Victoria.
D. precededByInOffice Premier of Queensland
Indicates that one individual served as Premier of Queensland immediately before another individual in the sequence of office holders.
E. lastPremier
Indicates that one entity is the most recent or final person to have held the position of premier of the other 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_69eeb3206e748190b90c85cc81f38c91`	completed	April 27, 2026, 12:51 a.m.
NER	Named-entity recognition	`batch_69f65aa07c048190a5df30d53d8f0cf5`	completed	May 2, 2026, 8:12 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a120925a5608190af602130bde206a7`	completed	May 23, 2026, 8:08 p.m.
NEDg	Description generation	`batch_6a1209bac5dc8190a3a0bcd25dc6f9c4`	completed	May 23, 2026, 8:10 p.m.
NED2	Entity disambiguation (via description)	`batch_6a120a7acb6081909b538b1a351a92bd`	completed	May 23, 2026, 8:13 p.m.
PD	Predicate disambiguation	`batch_69f659cc571c819097e51e531961d812`	completed	May 2, 2026, 8:08 p.m.

Created at: April 27, 2026, 1:42 a.m.