Triple
T24404152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Folger Estate Stable Historic District |
E615260
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
James A. Folger II
James A. Folger II was an American coffee heir and businessman, a member of the family behind Folgers Coffee and a prominent figure in early 20th-century California society.
|
E1631044
|
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: James A. Folger II | Statement: [Folger Estate Stable Historic District, associatedWith, James A. Folger II]
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: James A. Folger II Triple: [Folger Estate Stable Historic District, associatedWith, James A. Folger II]
Generated description
James A. Folger II was an American coffee heir and businessman, a member of the family behind Folgers Coffee and a prominent figure in early 20th-century California society.
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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dcf7f4819094d2a3be163a5822 |
completed | April 29, 2026, 11:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fd689db7c819093b3225fe2efcf6e |
completed | May 22, 2026, 4:07 a.m. |
| NEDg | Description generation | batch_6a0fd870ba548190acc06f694170e997 |
completed | May 22, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fd8f7c44881909c84a8baac1bcd02 |
completed | May 22, 2026, 4:17 a.m. |
Created at: April 18, 2026, 2:05 a.m.