Triple
T33876981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Cox Richardson |
E868380
|
entity |
| Predicate | hasWritten |
P2831
|
FINISHED |
| Object |
"To Make Men Free: A History of the Republican Party"
"To Make Men Free: A History of the Republican Party" is a historical study that traces the ideological evolution and political transformations of the Republican Party from its 19th-century origins to the modern era.
|
E2071582
|
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: "To Make Men Free: A History of the Republican Party" | Statement: [Heather Cox Richardson, hasWritten, "To Make Men Free: A History of the Republican Party"]
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: "To Make Men Free: A History of the Republican Party" Triple: [Heather Cox Richardson, hasWritten, "To Make Men Free: A History of the Republican Party"]
Generated description
"To Make Men Free: A History of the Republican Party" is a historical study that traces the ideological evolution and political transformations of the Republican Party from its 19th-century origins to the modern era.
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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f701070608819091d0e820e8bff755 |
completed | May 3, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36762c4df881908ebcbdba7dc99957 |
completed | June 20, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a3676e442208190b316373c4b23df03 |
completed | June 20, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3677b8a3748190895cb5ccd2f90f6b |
completed | June 20, 2026, 11:21 a.m. |
Created at: May 1, 2026, 1:48 a.m.