Triple
T30098744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matter of Rome |
E764935
|
entity |
| Predicate | associatedWithAuthor |
P2830
|
FINISHED |
| Object |
Eustache (author of Roman de Thèbes)
Eustache, the author of the medieval romance "Roman de Thèbes," was a 12th-century French poet associated with the tradition of classical-themed chivalric literature known as the Matter of Rome.
|
E1900358
|
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: Eustache (author of Roman de Thèbes) | Statement: [Matter of Rome, associatedWithAuthor, Eustache (author of Roman de Thèbes)]
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: Eustache (author of Roman de Thèbes) Triple: [Matter of Rome, associatedWithAuthor, Eustache (author of Roman de Thèbes)]
Generated description
Eustache, the author of the medieval romance "Roman de Thèbes," was a 12th-century French poet associated with the tradition of classical-themed chivalric literature known as the Matter of Rome.
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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d92dbdc8190ae3e8f67b979cb5c |
completed | May 2, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27432cd0fc81908505e26220467f9d |
completed | June 8, 2026, 10:33 p.m. |
| NEDg | Description generation | batch_6a274717572c819093f59219a6eb67c2 |
completed | June 8, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a274777b8f88190be5d159db03374a6 |
completed | June 8, 2026, 10:51 p.m. |
Created at: April 29, 2026, 7:08 p.m.