Triple
T3385211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Lowell |
E71282
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jean Stafford |
E279365
|
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: Jean Stafford | Statement: [Robert Lowell, spouse, Jean Stafford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Stafford Context triple: [Robert Lowell, spouse, Jean Stafford]
-
A.
Jean Stafford
chosen
Jean Stafford was an American novelist and short story writer known for her psychologically acute fiction and for winning the 1970 Pulitzer Prize for Fiction.
-
B.
Ethel Pyle
Ethel Pyle is the daughter of American heiress and socialite Ethel du Pont.
-
C.
Margaret Millar
Margaret Millar was a Canadian-American mystery and suspense novelist renowned for her psychologically complex crime fiction and influential contributions to mid-20th-century detective literature.
-
D.
Dawn Powell
Dawn Powell was an American novelist, playwright, and satirist known for her sharp, witty portrayals of New York City life in the early to mid-20th century.
-
E.
Helen Gardner
Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33455ae2481908e6478cb240b31c1 |
completed | March 12, 2026, 9:47 p.m. |
Created at: March 8, 2026, 3:14 p.m.