Triple

T36319274
Position Surface form Disambiguated ID Type / Status
Subject Symphony No. 2 (Khachaturian) E894283 entity
Predicate alsoKnownAs P39 FINISHED
Object Symphony No. 2 in E minor
Symphony No. 2 in E minor is Aram Khachaturian’s large-scale, dramatic symphony composed during World War II, noted for its dark, turbulent character and powerful orchestration.
E2181679 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: Symphony No. 2 in E minor | Statement: [Symphony No. 2 (Khachaturian), alsoKnownAs, Symphony No. 2 in E minor]
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: Symphony No. 2 in E minor
Triple: [Symphony No. 2 (Khachaturian), alsoKnownAs, Symphony No. 2 in E minor]
Generated description
Symphony No. 2 in E minor is Aram Khachaturian’s large-scale, dramatic symphony composed during World War II, noted for its dark, turbulent character and powerful orchestration.

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_69f76e4d1a788190a6ab6ccca28547a7 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7ba43c0fc81909f512aba5862f346 completed May 3, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39b42417d08190a859847dd25eabf8 completed June 22, 2026, 10:16 p.m.
NEDg Description generation batch_6a39b7953d6c8190814d09da47c5abf2 completed June 22, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_6a39b8538bb88190961427edc6c95a41 completed June 22, 2026, 10:33 p.m.
Created at: May 3, 2026, 4:09 p.m.