Triple

T30719815
Position Surface form Disambiguated ID Type / Status
Subject John Vaughan, 1st Earl of Carbery E782118 entity
Predicate ordinal P4901 FINISHED
Object 1st Earl of Carbery
The 1st Earl of Carbery was a title in the Peerage of Ireland held by John Vaughan, a 17th-century nobleman and politician.
 E1930175 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 Earl of Carbery | Statement: [John Vaughan, 1st Earl of Carbery, ordinal, 1st Earl of Carbery]
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 Earl of Carbery
Triple: [John Vaughan, 1st Earl of Carbery, ordinal, 1st Earl of Carbery]
Generated description
The 1st Earl of Carbery was a title in the Peerage of Ireland held by John Vaughan, a 17th-century nobleman 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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c583438819093b812f11327eb60 completed May 2, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b08663d881909f85dff60d7250cd completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b19f18cc819090d4c3734f99fad7 completed June 10, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_6a28b20a8db48190b546fac08b331308 completed June 10, 2026, 12:38 a.m.
Created at: April 29, 2026, 8:36 p.m.