Triple
T36125656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Loves of Joanna Godden |
E1044871
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object | A strong-willed woman defies social conventions to run her late father's farm and pursue her own romantic choices. |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: A strong-willed woman defies social conventions to run her late father's farm and pursue her own romantic choices. | Statement: [The Loves of Joanna Godden, plotSummary, A strong-willed woman defies social conventions to run her late father's farm and pursue her own romantic choices.]
Provenance (2 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2f7679c8190b7894c32d915ac3a |
completed | May 3, 2026, 8:41 p.m. |
Created at: May 3, 2026, 4:08 p.m.