Triple
T7612293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satchmo |
E172269
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Satch |
E21507
|
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: Satch | Statement: [Satchmo, alsoKnownAs, Satch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satch Context triple: [Satchmo, alsoKnownAs, Satch]
-
A.
Satch
chosen
Satch is a nickname for Louis Armstrong, the pioneering American jazz trumpeter and singer whose charismatic performances helped shape the development of jazz in the 20th century.
-
B.
Satchel
Satchel was the famous nickname of legendary American baseball pitcher Leroy "Satchel" Paige, renowned for his extraordinary skill and longevity in the game.
-
C.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
D.
Sabetzki
Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
-
E.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
- 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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa23981c81908168ac0ac9add5d8 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868645f8081909439f63df3184628 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.