Triple

T25953493
Position Surface form Disambiguated ID Type / Status
Subject Thomas Love Peacock E654028 entity
Predicate child P120 FINISHED
Object Mary Ellen Peacock
Mary Ellen Peacock was the daughter of English satirical novelist Thomas Love Peacock and the first wife of Victorian poet George Meredith.
 E1872354 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: Mary Ellen Peacock | Statement: [Thomas Love Peacock, child, Mary Ellen Peacock]
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: Mary Ellen Peacock
Triple: [Thomas Love Peacock, child, Mary Ellen Peacock]
Generated description
Mary Ellen Peacock was the daughter of English satirical novelist Thomas Love Peacock and the first wife of Victorian poet George Meredith.

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_69e7ab40ac788190a771bc499eb1ae5f completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6049a5508819085be78ba6fbbfd69 completed May 2, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a260bee59b08190ad480e144ccce6d7 completed June 8, 2026, 12:25 a.m.
NEDg Description generation batch_6a26107884ec8190b5c1cb9ed5722019 completed June 8, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a261b4db4588190bc92dd1ea4c6e26f completed June 8, 2026, 1:30 a.m.
Created at: April 22, 2026, 8:44 a.m.