Triple
T11576250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Bernstein |
E274511
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Joseph |
unclear NED1
|
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: Joseph | Statement: [Joseph Bernstein, givenName, Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Context triple: [Joseph Bernstein, givenName, Joseph]
-
A.
Joseph
Joseph is the given name of Joe Fulks, an early professional basketball star often credited as one of the NBA’s first great scorers.
-
B.
Joseph
Joseph is the given name of Joe DiMaggio, the legendary American baseball center fielder for the New York Yankees.
-
C.
Joseph
Joseph is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and moral integrity as recounted in Surah Yusuf of the Qur’an.
-
D.
Joseph
Joseph is the first name of Gray Davis, the former governor of California.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89049721081909278adfada668ef9 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e713f7ca4c81908f29143df420fd71 |
completed | April 21, 2026, 6:06 a.m. |
Created at: April 8, 2026, 9:38 p.m.