Triple

T30308739
Position Surface form Disambiguated ID Type / Status
Subject George Granville, 1st Baron Lansdowne E770862 entity
Predicate notableWork P4 FINISHED
Object The Jew of Venice
The Jew of Venice is a 1701 stage adaptation of Shakespeare’s The Merchant of Venice by English dramatist George Granville, 1st Baron Lansdowne.
E1907571 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: The Jew of Venice | Statement: [George Granville, 1st Baron Lansdowne, notableWork, The Jew of Venice]
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: The Jew of Venice
Triple: [George Granville, 1st Baron Lansdowne, notableWork, The Jew of Venice]
Generated description
The Jew of Venice is a 1701 stage adaptation of Shakespeare’s The Merchant of Venice by English dramatist George Granville, 1st Baron Lansdowne.

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_69f22488f224819081b0f3ec41ab975c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6816a2f348190b35b187ddb71c3a5 completed May 2, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276f11bd748190995fda1d954a61e9 completed June 9, 2026, 1:40 a.m.
NEDg Description generation batch_6a276fa88d248190a7bc70990a19ba5a completed June 9, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a277064150c8190a1d43e89ec3c4886 completed June 9, 2026, 1:46 a.m.
Created at: April 29, 2026, 7:50 p.m.