Triple

T23877005
Position Surface form Disambiguated ID Type / Status
Subject Hungarian March E592894 entity
Predicate positionInWork P5188 FINISHED
Object appears in Part II of La damnation de Faust
Hungarian March is a famous orchestral piece by Hector Berlioz, celebrated for its rousing, folk-inspired themes and vivid orchestration.
E1604689 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: appears in Part II of La damnation de Faust | Statement: [Hungarian March, positionInWork, appears in Part II of La damnation de Faust]
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: appears in Part II of La damnation de Faust
Triple: [Hungarian March, positionInWork, appears in Part II of La damnation de Faust]
Generated description
Hungarian March is a famous orchestral piece by Hector Berlioz, celebrated for its rousing, folk-inspired themes and vivid 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_69e25d23a5c88190ae3999c70ca15e08 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1cc02277c8190b0c15d6525f3b38d completed April 29, 2026, 9:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69c655b08190ba28f82eeae08528 completed May 21, 2026, 8:23 p.m.
NEDg Description generation batch_6a0f6d4399e481908e08d9dc8dd5e139 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e22305081909ad33dfaf65f004e completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 8:15 p.m.