Triple

T36081379
Position Surface form Disambiguated ID Type / Status
Subject A Village Romeo and Juliet E1043656 entity
Predicate librettist P1141 FINISHED
Object Charles Francis Keary
Charles Francis Keary was a British novelist and scholar known for his experimental fiction, interest in folklore and mythology, and collaborations with composer Frederick Delius.
 E2221944 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: Charles Francis Keary | Statement: [A Village Romeo and Juliet, librettist, Charles Francis Keary]
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: Charles Francis Keary
Triple: [A Village Romeo and Juliet, librettist, Charles Francis Keary]
Generated description
Charles Francis Keary was a British novelist and scholar known for his experimental fiction, interest in folklore and mythology, and collaborations with composer Frederick Delius.

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_69f76e3154908190a6f702671c2bea08 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b23d14c48190bcbd1c0499a308aa completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40636b22b88190a2f96d40c49458ec completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a40649da7188190907f2c12b6a9ce1e completed June 28, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a40655bd8d881908a0824fbd19562cd completed June 28, 2026, 12:05 a.m.
Created at: May 3, 2026, 4:08 p.m.