Triple
T34019903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of State for Foreign Affairs of France |
E872353
|
entity |
| Predicate | officeHolder |
P537
|
FINISHED |
| Object |
Jean-Baptiste Colbert de Torcy
Jean-Baptiste Colbert de Torcy was a prominent French diplomat and statesman of the late 17th and early 18th centuries who directed Louis XIV’s foreign policy during key European conflicts and peace negotiations.
|
E2077272
|
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: Jean-Baptiste Colbert de Torcy | Statement: [Secretary of State for Foreign Affairs of France, officeHolder, Jean-Baptiste Colbert de Torcy]
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: Jean-Baptiste Colbert de Torcy Triple: [Secretary of State for Foreign Affairs of France, officeHolder, Jean-Baptiste Colbert de Torcy]
Generated description
Jean-Baptiste Colbert de Torcy was a prominent French diplomat and statesman of the late 17th and early 18th centuries who directed Louis XIV’s foreign policy during key European conflicts and peace negotiations.
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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70af7aefc819084fbbcd99049b7e2 |
completed | May 3, 2026, 8:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3692f5c3d88190ba9a1b64be69c9a7 |
completed | June 20, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_6a369361db9c8190ae9a9b0315e4dcd5 |
completed | June 20, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3694f24900819096171d97fca59856 |
completed | June 20, 2026, 1:26 p.m. |
Created at: May 1, 2026, 1:51 a.m.