Triple

T27178274
Position Surface form Disambiguated ID Type / Status
Subject James Hamilton, 1st Earl of Arran E683113 entity
Predicate nobleTitle P914 FINISHED
Object 1st Earl of Arran
The 1st Earl of Arran was a Scottish noble title in the Peerage of Scotland, notably held by James Hamilton, an influential aristocrat during the early 16th century.
E1901890 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 Arran | Statement: [James Hamilton, 1st Earl of Arran, nobleTitle, 1st 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: 1st Earl of Arran
Triple: [James Hamilton, 1st Earl of Arran, nobleTitle, 1st Earl of Arran]
Generated description
The 1st Earl of Arran was a Scottish noble title in the Peerage of Scotland, notably held by James Hamilton, an influential aristocrat during the early 16th century.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6257b131c81908d4c12848c932179 completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274c83027c819094701c4648b45394 completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274ddf8d688190b480d115456651c3 completed June 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_6a274eb19fd48190a2d38ace0cc22b77 completed June 8, 2026, 11:22 p.m.
Created at: April 27, 2026, 9:27 a.m.