Triple
T21413341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emily Hardy |
E528232
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hardy |
—
|
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: Hardy | Statement: [Emily Hardy, familyName, Hardy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardy Context triple: [Emily Hardy, familyName, Hardy]
-
A.
Hardy
Hardy is a given name associated with Mary Pinkney Hardy MacArthur, the wife of U.S. Army General Douglas MacArthur.
-
B.
Hardy
Hardy is a short form of the German given name Erhard, often used as a familiar or diminutive version.
-
C.
Hardy
Hardy is the surname of Antonio Hardy, better known as Big Daddy Kane, a pioneering American rapper from the late 1980s and early 1990s.
-
D.
Hardy
chosen
Hardy is a common French surname borne by numerous notable figures across fields such as the arts, sciences, and public life.
-
E.
Hardy
Hardy is an American country music singer-songwriter known for his gritty, rock-influenced sound and hit songs both as a solo artist and as a writer for other major country acts.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b20017d8819096b1a679edc8943a |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:44 p.m.