Triple
T19417236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Schmitt |
E485753
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Schmitt |
E532818
|
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: Schmitt | Statement: [Al Schmitt, familyName, Schmitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmitt Context triple: [Al Schmitt, familyName, Schmitt]
-
A.
Schmitt
chosen
Schmitt is a German surname most famously associated with Carl Schmitt, a 20th-century legal and political theorist known for his work on sovereignty and political theology.
-
B.
Schmidt
Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
-
C.
Schneider
Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
-
D.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
E.
Schmitz
Schmitz is a character who serves as an ally and accomplice to Eisenring in Friedrich Dürrenmatt’s play "The Visit."
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62afad8d881908f1de6324e55d2f6 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733ce2e6081909e8baebf638747f1 |
completed | May 15, 2026, 2:55 p.m. |
Created at: April 10, 2026, 1:37 p.m.