Triple

T27057554
Position Surface form Disambiguated ID Type / Status
Subject Lucy Elizabeth Jefferson E684938 entity
Predicate familyName P18 FINISHED
Object Jefferson
Jefferson is a common English surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
E554801 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: Jefferson | Statement: [Lucy Elizabeth Jefferson, familyName, Jefferson]
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: Jefferson
Triple: [Lucy Elizabeth Jefferson, familyName, Jefferson]
Generated description
Jefferson is a common English surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.

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_69ef14829fac8190914bef9ecc3005d7 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f622e16d388190842e202826e8c22a completed May 2, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247ea50f081909b316177aec0a557 completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a1248ceac908190a0264122d588ecba completed May 24, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a1249c660a48190888d98cfc14506b0 completed May 24, 2026, 12:43 a.m.
Created at: April 27, 2026, 8:19 a.m.