Triple
T20478485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen |
E502386
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Joseph |
—
|
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: Joseph | Statement: [Carmen, relative, Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Context triple: [Carmen, relative, Joseph]
-
A.
Joseph
Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
-
B.
Joseph
Joseph is the given first name of Joe Torre, the former Major League Baseball player and Hall of Fame manager best known for leading the New York Yankees to multiple World Series titles.
-
C.
Joseph
Joseph is the given name of Joseph Lister, 1st Baron Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
-
D.
Joseph
Joseph is the formal given name of Joe Hogsett, an American politician and attorney who has served as the mayor of Indianapolis.
-
E.
Joseph
Joseph is the birth name of American comedian, actor, and filmmaker Jerry Lewis, a legendary figure in 20th-century entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.