Triple
T27491984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Theresa Gold |
E693909
|
entity |
| Predicate | notableFamily |
P1481
|
FINISHED |
| Object |
Appleton family of Boston
The Appleton family of Boston is a prominent New England lineage known for its wealth, social standing, and influence in Boston’s political, commercial, and philanthropic life across the 18th and 19th centuries.
|
E1776443
|
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: Appleton family of Boston | Statement: [Maria Theresa Gold, notableFamily, Appleton family of Boston]
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: Appleton family of Boston Triple: [Maria Theresa Gold, notableFamily, Appleton family of Boston]
Generated description
The Appleton family of Boston is a prominent New England lineage known for its wealth, social standing, and influence in Boston’s political, commercial, and philanthropic life across the 18th and 19th centuries.
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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62e8a4ce881908c3438144ea16b3b |
completed | May 2, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbf19cdc8190b82e238391ee22eb |
completed | May 24, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_6a12be08962481909e13de304e15e926 |
completed | May 24, 2026, 8:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12be94d1d88190a2805d148c0cc2b8 |
completed | May 24, 2026, 9:02 a.m. |
Created at: April 27, 2026, 1:06 p.m.