Triple
T32731251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Pearson |
E836960
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Facades: Edith, Osbert and Sacheverell Sitwell
"Facades: Edith, Osbert and Sacheverell Sitwell" is a biographical work by John Pearson that explores the lives, relationships, and cultural impact of the eccentric literary Sitwell siblings.
|
E2020080
|
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: Facades: Edith, Osbert and Sacheverell Sitwell | Statement: [John Pearson, notableWork, Facades: Edith, Osbert and Sacheverell Sitwell]
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: Facades: Edith, Osbert and Sacheverell Sitwell Triple: [John Pearson, notableWork, Facades: Edith, Osbert and Sacheverell Sitwell]
Generated description
"Facades: Edith, Osbert and Sacheverell Sitwell" is a biographical work by John Pearson that explores the lives, relationships, and cultural impact of the eccentric literary Sitwell siblings.
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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8cd5cd48190b4d44faed8fcce07 |
completed | May 3, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a349edab1f08190a485b9122a42f422 |
completed | June 19, 2026, 1:43 a.m. |
| NEDg | Description generation | batch_6a34a0590c70819089184be6ef8edfdc |
completed | June 19, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34a1248dcc8190b754cabe14a9d9ae |
completed | June 19, 2026, 1:53 a.m. |
Created at: May 1, 2026, 1:11 a.m.