Triple

T34753307
Position Surface form Disambiguated ID Type / Status
Subject Arthur Saunders Gore, 2nd Earl of Arran E1001845 entity
Predicate nobleTitleNumber P18767 FINISHED
Object 2nd Earl of Arran
The 2nd Earl of Arran was an Irish peer from the Gore family who sat in the Irish House of Lords and held various political and social positions in the late 18th and early 19th centuries.
E2189643 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: 2nd Earl of Arran | Statement: [Arthur Saunders Gore, 2nd Earl of Arran, nobleTitleNumber, 2nd Earl of Arran]
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: 2nd Earl of Arran
Triple: [Arthur Saunders Gore, 2nd Earl of Arran, nobleTitleNumber, 2nd Earl of Arran]
Generated description
The 2nd Earl of Arran was an Irish peer from the Gore family who sat in the Irish House of Lords and held various political and social positions in the late 18th and early 19th centuries.

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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f779ed869c8190abe792923a19316a completed May 3, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6bc2cd08190aef7e2e35316a8e0 completed June 23, 2026, 1:51 a.m.
NEDg Description generation batch_6a39eb96fa2081909dc4790068e70df1 completed June 23, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a39ef75b4108190a21eae0fd8d705e8 completed June 23, 2026, 2:29 a.m.
Created at: May 3, 2026, 3:59 p.m.