Triple

T30565563
Position Surface form Disambiguated ID Type / Status
Subject Henry Liddell, 1st Baron Ravensworth E777962 entity
Predicate title P38 FINISHED
Object 1st Baron Ravensworth
1st Baron Ravensworth was a British peerage title in the United Kingdom, first held by Henry Liddell, a prominent 19th-century English landowner and politician.
E1921767 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: 1st Baron Ravensworth | Statement: [Henry Liddell, 1st Baron Ravensworth, title, 1st Baron Ravensworth]
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: 1st Baron Ravensworth
Triple: [Henry Liddell, 1st Baron Ravensworth, title, 1st Baron Ravensworth]
Generated description
1st Baron Ravensworth was a British peerage title in the United Kingdom, first held by Henry Liddell, a prominent 19th-century English landowner and politician.

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_69f2249ed41c8190b175170ecfd6e1c5 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6890e7aec8190b0a79e08744acf5f completed May 2, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2856fb3e548190914895769710cccc completed June 9, 2026, 6:10 p.m.
NEDg Description generation batch_6a285b0c7f68819095e450077103ee53 completed June 9, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a285b9bc284819093e0745e16f026c8 completed June 9, 2026, 6:29 p.m.
Created at: April 29, 2026, 8:21 p.m.