Triple

T36144213

Position	Surface form	Disambiguated ID	Type / Status
Subject	Night Train to Lisbon	`E1045398`	entity
Predicate	titleCharacterInSourceWork	`P161382`	FINISHED
Object	Amadeu de Prado Amadeu de Prado is a brilliant, enigmatic Portuguese doctor and writer whose life and philosophical reflections lie at the heart of Pascal Mercier’s novel "Night Train to Lisbon."	`E2172133`	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: Amadeu de Prado | Statement: [Night Train to Lisbon, titleCharacterInSourceWork, Amadeu de Prado]

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: Amadeu de Prado
Triple: [Night Train to Lisbon, titleCharacterInSourceWork, Amadeu de Prado]

Generated description

Amadeu de Prado is a brilliant, enigmatic Portuguese doctor and writer whose life and philosophical reflections lie at the heart of Pascal Mercier’s novel "Night Train to Lisbon."

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

Target predicate: titleCharacterInSourceWork
Context triple: [Night Train to Lisbon, titleCharacterInSourceWork, Amadeu de Prado]

A. fictionalCharacterPortrayedFromWorkBy
Indicates that a fictional character is depicted or portrayed in a work that was created by a specific author or creator.
B. characterInBookBy
Indicates that a character appears in a book that was written by a specified author.
C. characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
D. characterInWorkDescribedAs
Indicates that a character is portrayed or described in a particular way within a specific work.
E. workTitleOfCharacter chosen
Indicates that the specified work (e.g., book, film, game) is the title in which the given character appears.
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_69f76e37ace88190a906b107d388f5d1`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69ff9e91bba08190af04b31ad815b13a`	completed	May 9, 2026, 8:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a390d467b8c8190a52c03261a15e917`	completed	June 22, 2026, 10:24 a.m.
NEDg	Description generation	`batch_6a390eaab52881909027bbc2cc2469ba`	completed	June 22, 2026, 10:30 a.m.
NED2	Entity disambiguation (via description)	`batch_6a390f6f1ec88190b2fe251699996657`	completed	June 22, 2026, 10:33 a.m.
PD	Predicate disambiguation	`batch_69ff9e00e4808190bde8f07e6519a72c`	completed	May 9, 2026, 8:50 p.m.

Created at: May 3, 2026, 4:08 p.m.