Triple
T13554367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josèphe |
E323731
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Joseph |
E77392
|
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: [Josèphe, relatedName, Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Context triple: [Josèphe, relatedName, 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
chosen
Joseph is a common masculine given name of Hebrew origin, traditionally interpreted to mean "He will add" or "God increases."
-
C.
Joseph
Joseph is the given first name of R. J. Mitchell, the British aeronautical engineer best known for designing the Supermarine Spitfire fighter aircraft.
-
D.
Joseph
Joseph is the first name of Gray Davis, the former governor of California.
-
E.
Joseph
Joseph is the middle name of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff1c1f0819084352d9b2ee13d7a |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75da721208190a3f5159125dbde9a |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.