Triple
T26124593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Francesco d’Este |
E659064
|
entity |
| Predicate | subjectHasTitle |
P46782
|
FINISHED |
| Object |
Francesco d’Este, son of Leonello d’Este
Francesco d’Este, son of Leonello d’Este, was a 15th-century Italian nobleman of the influential Este family of Ferrara, known today primarily through his celebrated portrait by Rogier van der Weyden.
|
E1712277
|
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: Francesco d’Este, son of Leonello d’Este | Statement: [Portrait of Francesco d’Este, subjectHasTitle, Francesco d’Este, son of Leonello d’Este]
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: Francesco d’Este, son of Leonello d’Este Triple: [Portrait of Francesco d’Este, subjectHasTitle, Francesco d’Este, son of Leonello d’Este]
Generated description
Francesco d’Este, son of Leonello d’Este, was a 15th-century Italian nobleman of the influential Este family of Ferrara, known today primarily through his celebrated portrait by Rogier van der Weyden.
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_69ee5bc2b2948190b458ad3f580af779 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60ad0714c8190b22f7a912cad364e |
completed | May 2, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11275cb74481908b7d8203e5fbdf54 |
completed | May 23, 2026, 4:04 a.m. |
| NEDg | Description generation | batch_6a11471d74fc81908b96c372d7662326 |
completed | May 23, 2026, 6:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a114adf8be881909cfbfbf8ea77d1d4 |
completed | May 23, 2026, 6:36 a.m. |
Created at: April 26, 2026, 8:11 p.m.