Triple
T30589523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto-William, Count of Burgundy |
E778612
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Gerberga of Chalon
Gerberga of Chalon was a 10th-century Burgundian noblewoman and duchess whose dynastic marriages and offspring, including Otto-William, Count of Burgundy, made her an important figure in the politics of medieval France and the Kingdom of Burgundy.
|
E1927262
|
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: Gerberga of Chalon | Statement: [Otto-William, Count of Burgundy, mother, Gerberga of Chalon]
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: Gerberga of Chalon Triple: [Otto-William, Count of Burgundy, mother, Gerberga of Chalon]
Generated description
Gerberga of Chalon was a 10th-century Burgundian noblewoman and duchess whose dynastic marriages and offspring, including Otto-William, Count of Burgundy, made her an important figure in the politics of medieval France and the Kingdom of Burgundy.
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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68979b8308190b4a5a8bc3d2282a6 |
completed | May 2, 2026, 11:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2870deff1081909dd4009024d78928 |
completed | June 9, 2026, 8 p.m. |
| NEDg | Description generation | batch_6a2880b9ddb881909d83eb427f60cfd5 |
completed | June 9, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a288480d6a48190b17d91df155458d0 |
completed | June 9, 2026, 9:24 p.m. |
Created at: April 29, 2026, 8:24 p.m.