Triple
T19539549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas P. Lowry |
E488858
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Beverly Lowry |
—
|
NE NERFINISHED |
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: Beverly Lowry | Statement: [Thomas P. Lowry, spouse, Beverly Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beverly Lowry Context triple: [Thomas P. Lowry, spouse, Beverly Lowry]
-
A.
Beverly Lowry
chosen
Beverly Lowry is an American author known for her novels and nonfiction works that often explore Southern life, crime, and complex female characters.
-
B.
Rosemary Robinson
Rosemary Robinson was the wife of influential mathematician and logician Abraham Robinson, known for her association with his personal and academic life.
-
C.
Christina Holt
Christina Holt is a family member of Dr. Michael Holt, a connection that places her within his immediate personal and familial circle.
-
D.
Linda Howard
Linda Howard is a fictional protagonist featured in the film "Lost in America."
-
E.
Rosemary Follett
Rosemary Follett is an Australian politician who became the first woman to lead a government in Australia when she served as the inaugural Chief Minister of the Australian Capital Territory.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63871d00881909ed7371ae5577957 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.