Triple
T23527231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yossi |
E576464
|
entity |
| Predicate | relatedName |
P3889
|
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: [Yossi, relatedName, Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Context triple: [Yossi, relatedName, Joseph]
-
A.
Joseph
Joseph is the given first name of Joe Foss, the famed American World War II flying ace and later governor of South Dakota.
-
B.
Joseph
Joseph is the given name of Joe Namath, the Hall of Fame American football quarterback famed for his career with the New York Jets.
-
C.
Joseph
Joseph is the birth name of American comedian, actor, and filmmaker Jerry Lewis, a legendary figure in 20th-century entertainment.
-
D.
Joseph
chosen
Joseph is the given name of Joseph Bau, an Israeli graphic artist, animator, and Holocaust survivor known for his work on the film "Schindler's List."
-
E.
Joseph
Joseph is the given first name of English actor Joe Alwyn, known for his roles in films such as "The Favourite" and "Billy Lynn's Long Halftime Walk."
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac74be1881909161b94aa611188a |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.