Triple
T34868130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula Parrott |
E1005070
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Next Time We Live
"Next Time We Live" is a 1930s novel by American writer Ursula Parrott, known for its exploration of modern marriage, romance, and the changing roles of women in early 20th-century society.
|
E2115997
|
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: Next Time We Live | Statement: [Ursula Parrott, notableWork, Next Time We Live]
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: Next Time We Live Triple: [Ursula Parrott, notableWork, Next Time We Live]
Generated description
"Next Time We Live" is a 1930s novel by American writer Ursula Parrott, known for its exploration of modern marriage, romance, and the changing roles of women in early 20th-century society.
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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7818250d48190a4f5423a6e861f7b |
completed | May 3, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a377962cc3c819096b51a23ee354560 |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a377de5e8008190b521e7cd4b53544c |
completed | June 21, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377e71b3c48190ac4a66f8623ae361 |
completed | June 21, 2026, 6:02 a.m. |
Created at: May 3, 2026, 4 p.m.