Triple

T33277253
Position Surface form Disambiguated ID Type / Status
Subject Ashes and Diamonds E851938 entity
Predicate hasCharacter P2308 FINISHED
Object Maciek Chełmicki
Maciek Chełmicki is the conflicted Home Army soldier protagonist of Andrzej Wajda’s acclaimed Polish film "Ashes and Diamonds," symbolizing the moral and political dilemmas of postwar Poland.
E2163238 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: Maciek Chełmicki | Statement: [Ashes and Diamonds, hasCharacter, Maciek Chełmicki]
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: Maciek Chełmicki
Triple: [Ashes and Diamonds, hasCharacter, Maciek Chełmicki]
Generated description
Maciek Chełmicki is the conflicted Home Army soldier protagonist of Andrzej Wajda’s acclaimed Polish film "Ashes and Diamonds," symbolizing the moral and political dilemmas of postwar Poland.

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_69f349653da08190819876015a298fdb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6de4404b481909c33fffd9ee867c5 completed May 3, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a38b6d7f6648190ad289363f5219441 completed June 22, 2026, 4:15 a.m.
NEDg Description generation batch_6a38b822a2a481909a16755875adedc0 completed June 22, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_6a38b8a713a481908bccea46167911fc completed June 22, 2026, 4:23 a.m.
Created at: May 1, 2026, 1:32 a.m.