Triple

T31263713
Position Surface form Disambiguated ID Type / Status
Subject Queen of Shemakha E797191 entity
Predicate appearsInAct P795 FINISHED
Object Act III of "The Golden Cockerel"
Act III of "The Golden Cockerel" is the final act of Nikolai Rimsky-Korsakov’s satirical opera, culminating in the Queen of Shemakha’s role in the downfall of Tsar Dodon and the work’s fantastical, allegorical resolution.
E1955556 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: Act III of "The Golden Cockerel" | Statement: [Queen of Shemakha, appearsInAct, Act III of "The Golden Cockerel"]
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: Act III of "The Golden Cockerel"
Triple: [Queen of Shemakha, appearsInAct, Act III of "The Golden Cockerel"]
Generated description
Act III of "The Golden Cockerel" is the final act of Nikolai Rimsky-Korsakov’s satirical opera, culminating in the Queen of Shemakha’s role in the downfall of Tsar Dodon and the work’s fantastical, allegorical resolution.

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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d8efb2c81909b7176c3c71901b0 completed May 3, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e258ec481909b782e8de334a9ce completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a3700658c819092a408298d79632c completed June 11, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_6a2a377a17c48190bf5baed66af5f3ad completed June 11, 2026, 4:20 a.m.
Created at: April 29, 2026, 9:12 p.m.