Triple

T30567366

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Weeping Meadow	`E778021`	entity
Predicate	originalTitle	`P65`	FINISHED
Object	Το Λιβάδι που δακρύζει Το Λιβάδι που δακρύζει is a 2004 Greek historical drama film by director Theo Angelopoulos, depicting the turbulent lives of a refugee family in early 20th-century Greece.	`E1921843`	NE FINISHED

How this triple was built (2 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: Το Λιβάδι που δακρύζει | Statement: [The Weeping Meadow, originalTitle, Το Λιβάδι που δακρύζει]

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: Το Λιβάδι που δακρύζει
Triple: [The Weeping Meadow, originalTitle, Το Λιβάδι που δακρύζει]

Generated description

Το Λιβάδι που δακρύζει is a 2004 Greek historical drama film by director Theo Angelopoulos, depicting the turbulent lives of a refugee family in early 20th-century Greece.

Provenance (5 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_69f2249f8c148190ae7eb3912cde112a`	completed	April 29, 2026, 3:32 p.m.
NER	Named-entity recognition	`batch_69f6890f69cc8190813769b61ce1ea23`	completed	May 2, 2026, 11:30 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2856fb3e548190914895769710cccc`	completed	June 9, 2026, 6:10 p.m.
NEDg	Description generation	`batch_6a285b0c7f68819095e450077103ee53`	completed	June 9, 2026, 6:27 p.m.
NED2	Entity disambiguation (via description)	`batch_6a285b9bc284819093e0745e16f026c8`	completed	June 9, 2026, 6:29 p.m.

Created at: April 29, 2026, 8:21 p.m.