Triple
T15012775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Dubus |
E377878
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Catherine Dubus |
E1131688
|
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: Catherine Dubus | Statement: [Andre Dubus, spouse, Catherine Dubus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Dubus Context triple: [Andre Dubus, spouse, Catherine Dubus]
-
A.
Peggy Dubus
chosen
Peggy Dubus is known as the former wife of American short story writer and essayist Andre Dubus.
-
B.
Renée Dwyer
Renée Dwyer is Bella Swan’s free-spirited, somewhat scatterbrained mother in the Twilight series, known for her warm but unconventional parenting style.
-
C.
Franny Mathison
Franny Mathison is the young daughter of CIA officer Carrie Mathison in the television series "Homeland."
-
D.
Paula Boyd
Paula Boyd was a British journalist and writer, known as the younger sister of model and photographer Pattie Boyd.
-
E.
Ann Dusenberry
Ann Dusenberry is an American actress best known for her role in the thriller sequel "Jaws 2" and for her work in film and television during the 1970s and 1980s.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7613cec8190ac25e3f68c5d0edf |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5ae816c8190a36abb46bbdaad7b |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 2:55 a.m.