Triple
T497736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martha Rogers |
E10331
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Martha Rogers |
E10331
|
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: Martha Rogers | Statement: [Martha Rogers, name, Martha Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Rogers Context triple: [Martha Rogers, name, Martha Rogers]
-
A.
Martha Rogers
chosen
Martha Rogers is a member of the prominent Rogers family of Canadian business and telecommunications, known as a daughter of the late media magnate Ted Rogers.
-
B.
Florence Nightingale Graham
Florence Nightingale Graham, better known as Elizabeth Arden, was a pioneering Canadian-American businesswoman who built a global cosmetics empire and helped shape the modern beauty industry.
-
C.
Jane Belson
Jane Belson was a British barrister best known as the wife of author Douglas Adams.
-
D.
Nancy Packard Burnett
Nancy Packard Burnett is an American philanthropist and member of the Packard family who has supported environmental, educational, and cultural initiatives.
-
E.
Dolores H. Russ
Dolores H. Russ was an American philanthropist and co-namesake of the prestigious Fritz J. and Dolores H. Russ Prize in engineering.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1183e988190bce70932a9678134 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481efc3a881909575c5981e13a16b |
completed | March 1, 2026, 6:14 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.