Triple

T26856804
Position Surface form Disambiguated ID Type / Status
Subject John Egerton, 1st Earl of Bridgewater E676217 entity
Predicate child P120 FINISHED
Object Lady Alice Egerton
Lady Alice Egerton was a 17th-century English noblewoman best known as the central figure in John Milton’s masque "Comus," written for performance by her and her brothers.
E1744240 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: Lady Alice Egerton | Statement: [John Egerton, 1st Earl of Bridgewater, child, Lady Alice Egerton]
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: Lady Alice Egerton
Triple: [John Egerton, 1st Earl of Bridgewater, child, Lady Alice Egerton]
Generated description
Lady Alice Egerton was a 17th-century English noblewoman best known as the central figure in John Milton’s masque "Comus," written for performance by her and her brothers.

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_69eee9b9d7708190a15d7485709ae981 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b96bcc08190b8d9cb07cf19876a completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12135378248190baf9f52cbfb9ce25 completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a12148a06dc8190b832343bd25754e4 completed May 23, 2026, 8:56 p.m.
NED2 Entity disambiguation (via description) batch_6a121524b1d08190bd50e97b29d278f2 completed May 23, 2026, 8:59 p.m.
Created at: April 27, 2026, 5:22 a.m.