Triple

T30521692
Position Surface form Disambiguated ID Type / Status
Subject Earls of Sandwich E776708 entity
Predicate hasOrdinalTitle P192434 FINISHED
Object 2nd Earl of Sandwich
The 2nd Earl of Sandwich was an English nobleman of the Montagu family who held the Sandwich earldom in the late 17th century.
 E1930376 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 Sandwich | Statement: [Earls of Sandwich, hasOrdinalTitle, 2nd Earl of Sandwich]
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 Sandwich
Triple: [Earls of Sandwich, hasOrdinalTitle, 2nd Earl of Sandwich]
Generated description
The 2nd Earl of Sandwich was an English nobleman of the Montagu family who held the Sandwich earldom in the late 17th 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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd0c44b1188190b282731bdab4d301 completed May 7, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b075cdb881909e43f1d89a2f9be3 completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b1cd9e78819093ff46123d12a12e completed June 10, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2b51afc81908cae8756f6d9b3a1 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:17 p.m.