Triple
T18858281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Millis Medal |
E461232
|
entity |
| Predicate | honours |
P107
|
FINISHED |
| Object | Nancy Millis |
—
|
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: Nancy Millis | Statement: [Nancy Millis Medal, honours, Nancy Millis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Millis Context triple: [Nancy Millis Medal, honours, Nancy Millis]
-
A.
Nancy Millis
chosen
Nancy Millis was an influential Australian microbiologist and educator renowned for her pioneering work in industrial microbiology and for promoting science and biotechnology in Australia.
-
B.
Nancy Shevell
Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
-
C.
Nancy Covey
Nancy Covey is an American music producer and tour manager known for organizing folk and world music events and for her long association with British singer-songwriter Richard Thompson.
-
D.
Nancy Sullivan
Nancy Sullivan is an actress known for playing Éponine in stage productions of the musical "Les Misérables."
-
E.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05eaee881909da704cf1374158c |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.