Triple

T24188046
Position Surface form Disambiguated ID Type / Status
Subject The Odyssey (1997 miniseries) E599613 entity
Predicate composer P1361 FINISHED
Object Eduard Artemyev
Eduard Artemyev was a pioneering Russian composer best known for his innovative electronic film scores, particularly his collaborations with director Andrei Tarkovsky.
E2291097 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: Eduard Artemyev | Statement: [The Odyssey (1997 miniseries), composer, Eduard Artemyev]
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: Eduard Artemyev
Triple: [The Odyssey (1997 miniseries), composer, Eduard Artemyev]
Generated description
Eduard Artemyev was a pioneering Russian composer best known for his innovative electronic film scores, particularly his collaborations with director Andrei Tarkovsky.

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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e24423108190a580ce7d69860a22 completed April 29, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c25a87ffc8190828493bdee06890f completed July 19, 2026, 1:17 a.m.
NEDg Description generation batch_6a5c26d6c7d48190a16c765b56176156 completed July 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a5c2b09bd648190816ea37cf33623d5 completed July 19, 2026, 1:40 a.m.
Created at: April 17, 2026, 11:35 p.m.